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398 results on '"Yang, Jia"'

1. Design of spread spectrum communication system based on multipath signal synthesis

Author

Guo Xiaoxu, Xu Zhaobin, Dai Jiacheng, Yang Jia, Jin Xiaojun, and Jin Zhonghe

Subjects
interference suppression, multipath channels, pseudonoise codes, wireless communications, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Abstract A low‐complexity anti‐multipath interference spread spectrum communication system is proposed to address shortcomings in traditional anti‐multipath technology, such as complex structures and high resource consumption. The system utilizes a fast Fourier transform to capture pseudo‐noise code signals and simultaneously detect multipath signals. Moreover, the signal‐to‐noise ratio (SNR) of each path signal is calculated, and the multipath signal is synthesized through the designed optimal SNR synthesis method to improve the SNR of the demodulated signal to reduce the bit error rate. MATLAB is used to perform functional simulations of the system to verify its feasibility. The simulation results show that the system can successfully detect and synthesize multipath signals and achieve lower communication error rates than traditional code division multiple access (CDMA) systems.

Published
2023
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2. An attention‐based cascade R‐CNN model for sternum fracture detection in X‐ray images

Author

Yang Jia, Haijuan Wang, Weiguang Chen, Yagang Wang, and Bin Yang

Subjects
attention mechanism, cascade R‐CNN, fracture detection, X‐ray image, Computational linguistics. Natural language processing, P98-98.5, Computer software, QA76.75-76.765
Abstract

Abstract Fracture is one of the most common and unexpected traumas. If not treated in time, it may cause serious consequences such as joint stiffness, traumatic arthritis, and nerve injury. Using computer vision technology to detect fractures can reduce the workload and misdiagnosis of fractures and also improve the fracture detection speed. However, there are still some problems in sternum fracture detection, such as the low detection rate of small and occult fractures. In this work, the authors have constructed a dataset with 1227 labelled X‐ray images for sternum fracture detection. The authors designed a fully automatic fracture detection model based on a deep convolution neural network (CNN). The authors used cascade R‐CNN, attention mechanism, and atrous convolution to optimise the detection of small fractures in a large X‐ray image with big local variations. The authors compared the detection results of YOLOv5 model, cascade R‐CNN and other state‐of‐the‐art models. The authors found that the convolution neural network based on cascade and attention mechanism models has a better detection effect and arrives at an mAP of 0.71, which is much better than using the YOLOv5 model (mAP = 0.44) and cascade R‐CNN (mAP = 0.55).

Published
2022
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8. The role of dynamic interplay exists between sympathetic and parasympathetic nerve in gastric tumorigenesis

Author

Chen, Diqun, primary, Li, Xunjun, additional, Wang, Yiyun, additional, Li, Xinxin, additional, Zhang, Hongxia, additional, Zhang, Lina, additional, Yang, Jia, additional, Tan, Haoyang, additional, Xie, Yingxin, additional, Liuzhou, Yingyi, additional, Qiu, Jiayun, additional, Shi, Miao, additional, Zhang, Feiran, additional, Zhong, Wu, additional, Xi, Kexing, additional, Fang, Chuanfa, additional, Balde, Alpha Ibrahima, additional, Yu, Jiang, additional, and Chen, Tao, additional

Published
2024
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10. Efficient Atomically Dispersed Co/N‐C Catalysts for Formic Acid Dehydrogenation and Transfer Hydrodeoxygenation of Vanillin

Author

Li, Xiaoyu, primary, Lu, Guilong, additional, Wang, Tianyu, additional, Yang, Jia-Yue, additional, Herrendorf, Tim, additional, Schwiderowski, Philipp, additional, Schulwitz, Jonas, additional, Chen, Peirong, additional, Kleist, Wolfgang, additional, Zhao, Guixia, additional, Muhler, Martin, additional, and Peng, Baoxiang, additional

Published
2024
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11. Molecular basis underlying default mode network functional abnormalities in postpartum depression with and without anxiety

Author

Chen, Kexuan, primary, Yang, Jia, additional, Li, Fang, additional, Chen, Jin, additional, Chen, Meiling, additional, Shao, Heng, additional, He, Chongjun, additional, Cai, Defang, additional, Zhang, Xing, additional, Wang, Libo, additional, Luo, Yuejia, additional, Cheng, Bochao, additional, and Wang, Jiaojian, additional

Published
2024
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13. Distinct fibroblast subpopulations associated with bone, brain or intrapulmonary metastasis in advanced non‐small‐cell lung cancer

Author

Xu, Ke, primary, Wang, Hao, additional, Zou, Yu‐Xia, additional, Zhang, Huan‐Huan, additional, Wang, Yue‐Nan, additional, Ren, Xue‐Ru, additional, Wang, Han‐Qi, additional, Xu, Ye‐Hong, additional, Li, Jia‐Jun, additional, Tang, Hao, additional, He, Cheng, additional, Wei, Song, additional, Tian, Tian, additional, Li, Lai‐Lin, additional, Zhou, Hui, additional, Xu, Lin‐Juan, additional, Fang, Jing‐Wen, additional, Guo, Chuang, additional, Yang, Jia‐Xuan, additional, Zhou, You‐Yang, additional, Zhang, Zhi‐Hong, additional, and Pan, Yue‐Yin, additional

Published
2024
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15. Patient‐Derived Organoids as Therapy Screening Platforms in Cancer Patients

Author

Khorsandi, Danial, primary, Yang, Jia‐Wei, additional, Foster, Samuel, additional, Khosravi, Safoora, additional, Hoseinzadeh, Negar, additional, Zarei, Fahimeh, additional, Lee, Yun Bin, additional, Runa, Farhana, additional, Gangrade, Ankit, additional, Voskanian, Leon, additional, Adnan, Darbaz, additional, Zhu, Yangzhi, additional, Wang, Zhaohui, additional, Jucaud, Vadim, additional, Dokmeci, Mehmet Remzi, additional, Shen, Xiling, additional, Bishehsari, Faraz, additional, Kelber, Jonathan A., additional, Khademhosseini, Ali, additional, and de Barros, Natan Roberto, additional

Published
2024
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16. Dynamic changes of endothelial and stromal cilia are required for the maintenance of corneal homeostasis

Author

Ni, Hua, primary, Li, Lamei, additional, Hu, Die, additional, Yang, Mulin, additional, Wang, Difei, additional, Ma, Hongbo, additional, Bu, Weiwen, additional, Yang, Jia, additional, Zhu, Li‐E., additional, Zhai, Denghui, additional, Song, Ting, additional, Yang, Song, additional, Lu, Quanlong, additional, Li, Dengwen, additional, Ran, Jie, additional, and Liu, Min, additional

Published
2024
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23. Influence of High-Frequency Repetitive Transcranial Magnetic Stimulation on Neurobehavioral and Electrophysiology in Patients with Disorders of Consciousness

Author

Jian-Min Chen, Qing-Fa Chen, Zhi-Yong Wang, Yang-Jia Chen, Nan-Nan Zhang, Jian-Wen Xu, and Jun Ni

Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Objective. High-frequency repetitive transcranial magnetic stimulation (HF-rTMS) has been proposed as a promising therapeutic intervention for patients with disorders of consciousness (DOC). However, its therapeutic effects in the literature are inconsistently documented. The primary aim of this study was to explore the alterations in neural connectivity and neurobehavioral reactivity during rTMS modulation in patients with DOC. In addition, safety was investigated as a secondary aim. Methods. The presence of bilateral N20 components in DOC patients was determined by somatosensory-evoked potential (SEP) before enrollment in the study. A total of 64 patients were enrolled and randomly placed into the active and sham groups. Ultimately, 50 patients completed the study. Twenty-five patients in the active group underwent real HF-rTMS, and 25 patients in the sham group underwent sham HF-rTMS, which was delivered over the left dorsolateral prefrontal cortex (DLPFC). The outcome measures of performed pre- and postintervention included the latencies of the N20 and N20-P25 amplitudes of SEP, brainstem auditory-evoked potential (BAEP) grade, JFK Coma Recovery Scale-Revised (CRS-R) score, and Glasgow Coma Scale (GCS) score; any adverse events were recorded at any time during the intervention. Result. Following six weeks of treatment, a significant increase was observed in the total CRS-R and GCS scores, and the N20-P25 amplitudes of patients in the two groups were compared with that obtained from preintervention (all p values < 0.05). The waves of BAEP in the two groups also showed a trend toward normalized activity compared with preintervention grades (p values < 0.05). A significant decrease in the latencies of N20 (p values < 0.001) was observed in the active group compared with measurements obtained from preintervention, whereas no significant decrease was observed in the sham group (p values = 0.013). The improvement in total CRS-R scores (p values = 0.002), total GCS scores (p values = 0.023), and N20-P25 amplitudes (p values = 0.011) as well as the decrease in latencies of N20 (p values = 0.018) and change in BAEP grades (p values = 0.013) were significantly different between the two groups. The parameters in neural connectivity (N20-P25 amplitudes, N20 latencies, and BAEP grades) were significantly correlated with the total CRS-R and GCS scores at postintervention, and the changes of CRS-R before and after interventions have a positive relationship with N20-P25 amplitudes. No adverse events related to the rTMS protocol were recorded. Conclusion. Neural connectivity levels are affected by HF-rTMS and are significantly related to clinical responses in DOC patients with the presence of bilateral N20. The elevation of neural connectivity levels may lay a foundation for successful HF-rTMS treatment for DOC patients.

Published
2022
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24. Enhancement of Congo Red-Neomycin Resonance Rayleigh Scattering by Dodecyl Trimethyl Ammonium Bromide and its Application

Author

Fanfan Zhang, Yangyang Chen, Dan Zhang, Yang Jia, Junsheng Meng, Lirong Jiang, and Shengke Yang

Subjects
Analytical chemistry, QD71-142
Abstract

A simple, rapid, and convenient method for the determination of neomycin based on the ion association method was proposed. In Britton–Robinson buffer solution, neomycin could react with Congo red to form an ionic association, which in turn reacted with dodecyl trimethyl ammonium bromide to form a ternary ionic association. The three were combined in a 1 : 1 : 1 ratio, which significantly enhanced the resonant Rayleigh scattering intensity at 468 nm. The obtained resonant Rayleigh scattering sensor showed a linear relationship with neomycin in the range of 0.07∼1 μg·mL−1. The limit of detection was 0.02 μg·mL−1, and the limit of quantification was 0.037 μg·mL−1. The experimental conditions were optimized. The method was verified based on the ICH rule. The established method could be applied to the analysis of the acceptable recovery rate of neomycin in powdered veterinary drugs.

Published
2022
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26. ROS‐mediated anticancer effects of EGFR‐targeted nanoceria

Author

Johnson, Kochurani K., primary, Koshy, Pramod, additional, Kopecky, Chantal, additional, Devadason, Michelle, additional, Biazik, Joanna, additional, Zheng, Xiaoran, additional, Jiang, Yue, additional, Wang, Xiaochun, additional, Liu, Yiling, additional, Holst, Jeff, additional, Yang, Jia‐Lin, additional, Kilian, Kristopher A., additional, and Sorrell, Charles C., additional

Published
2023
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31. Biosyncretic Robots Actuated by Living Materials

Author

Yang, Lianchao, primary, Zhang, Chuang, additional, Wang, Ruiqian, additional, Qin, Hengshen, additional, Zhang, Yiwei, additional, Tan, Wenjun, additional, Yang, Jia, additional, Wang, Feifei, additional, and Liu, Lianqing, additional

Published
2023
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43. Investigation of the effect of P14 promoter aberrant methylation on the biological function of human lung cancer cells

Author

Bing‐Yang Jia, Rong‐Hua Yang, Wen‐Jie Jiao, and Kai‐Hua Tian

Subjects
Adenocarcinoma of lung, DNA methylation, p14ARF promoter regions, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Background This study was conducted to investigate the effect of P14 promoter aberrant methylation on the biological function of human lung adenocarcinoma cells. Methods We used nested methylation‐specific PCR (NMSP) to detect the methylation status of the p14ARF promoter region in SPCA1 and BEAS2B cell lines. The experimental groups were treated with 5‐aza‐2′‐deoxycytidine (5‐Aza). Quantitative real‐time PCR, Western blot, flow cytometry, and Cell Counting Kit 8 were used to detect the expression of p14ARF messenger RNA and protein in each group, apoptosis, and cell proliferation inhibition, respectively. Results NMSP detected that the p14 promoter region of SPCA1 cells has abnormal methylation status. After treatment with 5‐Aza, the expression of p14ARF messenger RNA and protein in SPCA1 cells (P 0.05). Conclusion Abnormal methylation of the p14ARF promoter region plays an important role in the development of lung cancer cells. Our results suggest the use of P14 promoter aberrant methylation as a therapeutic target for drug research or to improve the sensitivity of other drugs.

Published
2019
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45. A Decision-Making Model for Autonomous Vehicles at Urban Intersections Based on Conflict Resolution

Author

Zi-jia Wang, Xue-mei Chen, Pin Wang, Meng-xi Li, Yang-jia-xin Ou, and Han Zhang

Subjects
Transportation engineering, TA1001-1280, Transportation and communications, HE1-9990
Abstract

The decision-making models that are able to deal with complex and dynamic urban intersections are critical for the development of autonomous vehicles. A key challenge in operating autonomous vehicles robustly is to accurately detect the trajectories of other participants and to consider safety and efficiency concurrently into interactions between vehicles. In this work, we propose an approach for developing a tactical decision-making model for vehicles which is capable of predicting the trajectories of incoming vehicles and employs the conflict resolution theory to model vehicle interactions. The proposed algorithm can help autonomous vehicles cross intersections safely. Firstly, Gaussian process regression models were trained with the data collected at intersections using subgrade sensors and a retrofit autonomous vehicle to predict the trajectories of incoming vehicles. Then, we proposed a multiobjective optimization problem (MOP) decision-making model based on efficient conflict resolution theory at intersections. After that, a nondominated sorting genetic algorithm (NSGA-II) and deep deterministic policy gradient (DDPG) are employed to select the optimal motions in comparison with each other. Finally, a simulation and verification platform was built based on Matlab/Simulink and PreScan. The reliability and effectiveness of the tactical decision-making model was verified by simulations. The results indicate that DDPG is more reliable and effective than NSGA-II to solve the MOP model, which provides a theoretical basis for the in-depth study of decision-making in a complex and uncertain intersection environment.

Published
2021
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46. Applying resonance Rayleigh scattering and spectrofluorimetric techniques for the selective determination of neomycin sulfate using Congo red as a probe: Applications for wastewater analysis

Author

Yang Jia, Yangyang Chen, Dan Zhang, Fanfan Zhang, Junsheng Meng, Lirong Jiang, and Shengke Yang

Subjects
Spectrometry, Fluorescence, Chemistry (miscellaneous), Biophysics, Scattering, Radiation, Neomycin, Congo Red, Wastewater
Abstract

Two simple, sensitive, and low-cost fluorescence spectroscopy methods for neomycin (NEO) detection were developed. Both methods were based on the interaction between NEO and Congo red (CR) in acidic buffer medium to form an ion-association complex. The quenching effect of the formed ion-association complex on the fluorescence of CR at 421 nm is a basic principle of fluorescence analysis, whilst the resonance Rayleigh scattering (RRS) method was used to enhance the resonance Rayleigh scattering spectrum at 384 nm by adding NEO. Experimental conditions such as pH, temperature, reaction time, CR concentration, and the ionic strength of the two methods were investigated and optimized. In addition, the effect of common coexisting substances on the method was tested and the results showed good selectivity. The composition of ion-association complexes, the reaction mechanism, and reasons for the enhanced intensity of RRS are discussed. Under optimum conditions, the responses of the fluorescence spectrophotometry and RRS methods showed good linearity with NEO concentrations in the range 0.2-3.0 μg ml

Published
2022

47. Involvement of lncRNAs and Macrophages: Potential Regulatory Link to Angiogenesis

Author

Yang Jia and Yedi Zhou

Subjects
Immunologic diseases. Allergy, RC581-607
Abstract

Macrophages are involved in angiogenesis, an essential process for organ growth and tissue repair, and could contribute to the pathogenesis of angiogenesis-related diseases such as malignant tumors and diabetic retinopathy. Recently, long noncoding RNAs (lncRNAs) have been proved to be important in cell differentiation, organismal development, and various diseases of pathological angiogenesis. Moreover, it has been indicated that numerous lncRNAs exhibit different functions in macrophage infiltration and polarization and regulate the secretion of inflammatory cytokines released by macrophages. Therefore, the focus of macrophage-related lncRNAs could be considered to be a potential method in therapeutic targeting angiogenesis-related diseases. This review mainly summarizes the roles played by lncRNAs which associated with macrophages in angiogenesis. The possible mechanisms of the regulatory link between lncRNAs and macrophages in various angiogenesis-related diseases were also discussed.

Published
2020
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