A5083206728- Perovskite Materials and Applications
- Conducting polymers and applications
- Advanced Radiotherapy Techniques
- Lung Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Endometrial and Cervical Cancer Treatments
- Quantum Dots Synthesis And Properties
- MicroRNA in disease regulation
- Medical Imaging Techniques and Applications
- Semiconductor materials and devices
- Breast Cancer Treatment Studies
- Thin-Film Transistor Technologies
- Non-Invasive Vital Sign Monitoring
- ZnO doping and properties
- Advanced materials and composites
- Working Capital and Financial Performance
- Radiation Therapy and Dosimetry
- Neural dynamics and brain function
- Financial Reporting and Valuation Research
- Psychological Well-being and Life Satisfaction
- RNA modifications and cancer
- Advanced Memory and Neural Computing
- Corporate Finance and Governance
- Organic Electronics and Photovoltaics
- ECG Monitoring and Analysis
University of International Relations
2023-2025
Capital Medical University
2025
Henan Polytechnic University
2022-2024
China Three Gorges University
2019-2024
Hunan Normal University
2023-2024
Chinese PLA General Hospital
2022-2023
Chinese People's Liberation Army
2022-2023
Renmin University of China
2020-2022
Chang'an University
2019
University of Southern California
2018
In this paper, a human electrocardiogram (ECG) identification system based on ensemble empirical mode decomposition (EEMD) is designed. A robust preprocessing method comprising noise elimination, heartbeat normalization and quality measurement proposed to eliminate the effects of heart rate variability. The independent rate. ECG signal decomposed into number intrinsic functions (IMFs) Welch spectral analysis used extract significant features. Principal component reduce dimensionality feature...
Purpose Since 1978, China has made tremendous economic achievements through industrial upgrading. However, these are accompanied by an expanding income gap between rural and urban areas. The purpose of this paper is to examine the relationship structure urban–rural inequality in China. Design/methodology/approach Using fixed-effects model provincial data for period 1985–2019, estimates a linear inequality. By decomposing total into four components, then analyzes how affects each component....
Purpose: Lung adenocarcinoma (LA) is one of the major types lung cancer.MicroRNAs (miRNAs) play an essential role in regulating responses natural killer (NK) cells to cancer malignancy.However, mechanism miR-218-5p involved killing effect NK LA remains poorly understood. Materials and Methods:The expression was examined by quantitative real-time polymerase chain reaction (qRT-PCR).Serine hydroxymethyl transferase 1 (SHMT1) level detected qRT-PCR or western blots.Cytokines production...
Precise recognition and delineation of tumors play a pivotal role in the radiotherapy non-small cell lung cancer (NSCLC). The current manual techniques used clinical practice are both time-consuming labor-intensive. While some studies have made progress automating segmentation targets, there is still room for further improvement their effectiveness. present study introduces unique two-stage deep learning (DL) method. Computed tomography (CT) images two hundred NSCLC cases collected to train...
To introduce an end-to-end automatic segmentation model for organs at risk (OARs) in thoracic CT images based on modified DenseNet, and reduce the workload of radiation oncologists.The computed tomography (CT) 36 lung cancer patients were included this study, which 27 patients' randomly selected as training set, 9 testing set. The validation set was generated by cross 6 from during each epoch autosegmentation task left right lungs, spinal cord, heart, trachea esophagus implemented, whole...
Abstract Data processing through artificial synapses is gaining attention owing to the emergence of neuromorphic computing. Analog via these can simultaneously handle large volumes data; however, it susceptible interference from various environmental factors. Specifically, temperature changes significantly affect overall signal characteristics, leading substantial errors. Herein, an organic heterojunction‐based synapse presented that capable light–temperature antagonistic operations. The...
In this work, cristobalite seeds were doped in silica-based ceramic cores, and the effect of particle size on properties cores was investigated. With decreasing seeds, content crystallised sintered increased gradually due to elevated surface area; linear shrinkage, bulk density leachability exhibited drastic increase after gradual decrease, flexural strength displayed an opposite tendency. When mean is 5 μm, showed optimal comprehensive properties, including shrinkage 0.35%, apparent...
Low-voltage Zn-doped CuI thin film transistors (TFTs) gated by chitosan dielectric were fabricated at a low temperature. The TFT exhibited more superior on/off current ratio than due to the substitution or supplementation of copper vacancies Zn ions. films characterized scanning electron microscope, X-ray diffraction, and photoelectron spectroscopy. TFTs an 1.58 × 104, subthreshold swing 70 mV/decade, field effect mobility 0.40 cm2V−1s−1, demonstrating good operational stability. Due...
We demonstrate an FPGA implementation of a parallel and reconfigurable architecture for sparse neural networks, capable on-chip training inference. The network connectivity uses pre-determined, structured sparsity to significantly reduce complexity by lowering memory computational requirements. notion edge-processing, leading efficient pipelining parallelization. Moreover, the device can be reconfigured trade off resource utilization with time fit networks datasets varying sizes. combined...
To introduce a model for automatic segmentation of thoracic organs at risk (OARs), especially the esophagus, in non-small cell lung cancer radiotherapy, using novel two-step deep learning network.A total 59 patients' CT images were enrolled, which 39 patients randomly selected as training set, 8 validation and 12 testing set. The segmentations six OARs including esophagus carried out. In addition, two sets treatment plans made on basis manually delineated tumor (Plan1) well automatically...