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Your search keyword '"Yin, Jiajun"' showing total 194 results
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194 results on '"Yin, Jiajun"'

2. Irinotecan hydrochloride liposome HR070803 in combination with 5-fluorouracil and leucovorin in locally advanced or metastatic pancreatic ductal adenocarcinoma following prior gemcitabine-based therapy (PAN-HEROIC-1): a phase 3 trial

Author

Cui, Jiujie, Qin, Shukui, Zhou, Yuhong, Zhang, Shuang, Sun, Xiaofeng, Zhang, Mingjun, Cui, Jiuwei, Fang, Weijia, Gu, Kangsheng, Li, Zhihua, Wang, Jufeng, Chen, Xiaobing, Yao, Jun, Zhou, Jun, Wang, Gang, Bai, Yuxian, Xiao, Juxiang, Qiu, Wensheng, Wang, Bangmao, Xia, Tao, Wang, Chunyue, Kong, Li, Yin, Jiajun, Zhang, Tao, Shen, Xionghu, Fu, Deliang, Gao, Chuntao, Wang, Huan, Wang, Quanren, and Wang, Liwei

Published
2024
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12. A Study on the Impact of Online Public Opinion on City Image from the Perspective of Crisis Communication : Tangshan BBQ Restaurant Violence Incident as an Example

Author

Yin, Jiajun, Wang, Haoying, Bi, Wenying, Striełkowski, Wadim, Editor-in-Chief, Black, Jessica M., Series Editor, Butterfield, Stephen A., Series Editor, Chang, Chi-Cheng, Series Editor, Cheng, Jiuqing, Series Editor, Dumanig, Francisco Perlas, Series Editor, Al-Mabuk, Radhi, Series Editor, Scheper-Hughes, Nancy, Series Editor, Urban, Mathias, Series Editor, Webb, Stephen, Series Editor, Hussain, Rosila Bee Binti Mohd, editor, Parc, Jimmyn, editor, and Li, Jia, editor

Published
2023
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18. Lightweight Image Segmentation Based Consensus Mechanism

Author

Ouyang, Jianquan, Yin, Jiajun, Sun, Yuxiang, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Chen, Phoebe, Editorial Board Member, Cuzzocrea, Alfredo, Editorial Board Member, Du, Xiaoyong, Editorial Board Member, Kara, Orhun, Editorial Board Member, Liu, Ting, Editorial Board Member, Sivalingam, Krishna M., Editorial Board Member, Slezak, Dominik, Editorial Board Member, Washio, Takashi, Editorial Board Member, Yang, Xiaokang, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zheng, Zibin, editor, Dai, Hong-Ning, editor, Tang, Mingdong, editor, and Chen, Xiangping, editor

Published
2020
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19. A novel Saclayvirus Acinetobacter baumannii phage genomic analysis and effectiveness in preventing pneumonia.

Author

Li, Shibin, Wei, Bingdong, Xu, Le, Cong, Cong, Murtaza, Bilal, Wang, Lili, Li, Xiaoyu, Li, Jibin, Xu, Mu, Yin, Jiajun, and Xu, Yongping

Subjects
ACINETOBACTER baumannii, GENOMICS, BACTERIOPHAGES, TRANSMISSION electron microscopy, NOSOCOMIAL infections, LUNG infections
Abstract

Acinetobacter baumannii, which is resistant to multiple drugs, is an opportunistic pathogen responsible for severe nosocomial infections. With no antibiotics available, phages have obtained clinical attention. However, since immunocompromised patients are often susceptible to infection, the appropriate timing of administration is particularly important. During this research, we obtained a lytic phage vB_AbaM_P1 that specifically targets A. baumannii. We then assessed its potential as a prophylactic treatment for lung infections caused by clinical strains. The virus experiences a period of inactivity lasting 30 min and produces approximately 788 particles during an outbreak. Transmission electron microscopy shows that vB_AbaM_P1 was similar to the Saclayvirus. Based on the analysis of high-throughput sequencing and bioinformatics, vB_AbaM_P1 consists of 107537 bases with a G + C content of 37.68%. It contains a total of 177 open reading frames and 14 tRNAs. No antibiotic genes were detected. In vivo experiments, using a cyclophosphamide-induced neutrophil deficiency model, tested the protective effect of phage on neutrophil-deficient rats by prophylactic application of phage. The use of phages resulted in a decrease in rat mortality caused by A. baumannii and a reduction in the bacterial burden in the lungs. Histologic examination of lung tissue revealed a decrease in the presence of immune cells. The presence of phage vB_AbaM_P1 had a notable impact on preventing A. baumannii infection, as evidenced by the decrease in oxidative stress in lung tissue and cytokine levels in serum. Our research offers more robust evidence for the early utilization of bacteriophages to mitigate A. baumannii infection. Key points: •A novel Saclayvirus phage infecting A. baumannii was isolated from sewage. •The whole genome was determined, analyzed, and compared to other phages. •Assaying the effect of phage in preventing infection in neutrophil-deficient models. [ABSTRACT FROM AUTHOR]

Published
2024
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25. MSA-UNet: A Multiscale Lightweight U-Net Lung CT Image Segmentation Algorithm Under Attention Mechanism.

Author

Wang, Chuantao, Shao, Shuo, Yin, Jiajun, Wang, Xiumin, and Li, Baoxia

Subjects
LUNGS, COMPUTED tomography, ALGORITHMS, LUNG diseases, PULMONARY nodules, IMAGE segmentation, FEATURE extraction
Abstract

Automatic and precise segmentation of lung images can assist doctors in locating and diagnosing lung lesions. However, current traditional lung CT image lesion segmentation algorithms suffer from the problem of low segmentation accuracy, while deep learning-based segmentation algorithms struggle to strike a better balance between lightweight and high accuracy. In response to this issue, a multi-scale and lightweight U-Net lung image segmentation algorithm with an attention mechanism is proposed. This algorithm introduces CA convolution after the convolution in the encoding stage to extract channel relationships and positional information from the feature maps. Furthermore, the RFB module is employed to extract features from different perspectives. Lastly, upward residual connections are introduced between the RFB modules in the encoder and decoder to enhance inter-network information interaction. Experiments conducted on the LUNA (lung nodule analysis) dataset and the COVID-QU-Ex dataset for COVID-19 pneumonia demonstrate that the proposed MSA-UNet algorithm achieves the best results in terms of Precision and Dice metrics. It outperforms mainstream models such as U-Net++ and DeeplabV3+ in terms of segmentation effectiveness and segmentation generality. The model has a floating-point operation count (FLOPs) of 18.15 G, a network parameter counts of 8.83×106, and achieves a Precision of 99.37%. The algorithm achieves a good balance between computational efficiency, model size, and segmentation accuracy. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Association Plasma Aβ42 Levels with Alzheimer’s Disease and Its Influencing Factors in Chinese Elderly Population

Author

Wu,Yue, Wang,Zhiqiang, Yin,Jiajun, Yang,Bixiu, Fan,Jie, Cheng,Zaohuo, Wu,Yue, Wang,Zhiqiang, Yin,Jiajun, Yang,Bixiu, Fan,Jie, and Cheng,Zaohuo

Abstract

Yue Wu1 *, Zhiqiang Wang2 *, Jiajun Yin,3 Bixiu Yang,2 Jie Fan,1 Zaohuo Cheng1 1Department of Geriatric Psychiatry, The Affiliated Wuxi Mental Health Center of Jiangnan University, Wuxi, People’s Republic of China; 2Department of Clinical Psychology, The Affiliated Wuxi Mental Health Center of Jiangnan University, Wuxi, People’s Republic of China; 3Brain Science Basic Laboratory, The Affiliated Wuxi Mental Health Center of Jiangnan University, Wuxi, People’s Republic of China* These authors contributed equally to this workCorrespondence: Zaohuo Cheng; Jiajun Yin, Department of Geriatric Psychiatry, The Affiliated Wuxi Mental Health Center of Jiangnan University, 156 Qianrong Road, Wuxi, 214151, People’s Republic of China, Tel +86 510 830 30359, Fax +86 510 830 12201, Email chengzaohuo@126.com; yinjiajunyjj@126.comBackground and Purpose: Intracerebral Aβ protein deposition is an important pathological mechanism of Alzheimer’s disease (AD) and is one of the indicators of early diagnosis of AD. However, invasive lumbar puncture and Aβ PET are difficult to perform in primary units, resulting delays in early diagnosis of AD. In recent years, it has been found that plasma Aβ can reflect the pathological state of AD in early stage, but the results are not consistent. The objective of this study was to explore the association between plasma Aβ 42 levels and AD cognitive impairment and its influencing factors in Chinese elderly population, so as to provide guidance for the clinical application of plasma Aβ 42 as a blood biomarker of AD.Methods: This is a cross-sectional study based on the community population. Plasma samples were collected from 604 healthy controls (HC), 508 mild cognitive impairment (MCI) and 202 dementia with Alzheimer’s type (DAT) patients from three cities. We analyzed the correlation between plasma Aβ 42 levels and cognitive function and the influence of confounding factors on the relationship between plasma Aβ

Published
2022

41. Association Analysis of Polymorphisms in BIN1, MC1R, STARD6 and PVRL2 with Mild Cognitive Impairment in Elderly Carrying APOE ϵ4 Allele

Author

Wu,Yue, Yin,Jiajun, Yang,Bixiu, Tang,Li, Feng,Wei, Liu,Xiaowei, Zhao,Xingfu, Cheng,Zaohuo, Wu,Yue, Yin,Jiajun, Yang,Bixiu, Tang,Li, Feng,Wei, Liu,Xiaowei, Zhao,Xingfu, and Cheng,Zaohuo

Abstract

Yue Wu,1,* Jiajun Yin,2,* Bixiu Yang,3 Li Tang,4 Wei Feng,5 Xiaowei Liu,1 Xingfu Zhao,1 Zaohuo Cheng1 1Department of Geriatric Psychiatry, The Affiliated Wuxi Mental Health Center with Nanjing Medical University, Wuxi, Jiangsu Province, People’s Republic of China; 2Brain Science Basic Laboratory, The Affiliated Wuxi Mental Health Center with Nanjing Medical University, Wuxi, Jiangsu Province, People’s Republic of China; 3Department of Clinical Psychology, The Affiliated Wuxi Mental Health Center with Nanjing Medical University, Wuxi, Jiangsu Province, People’s Republic of China; 4Department of General Psychiatry, The Affiliated Wuxi Mental Health Center with Nanjing Medical University, Wuxi, Jiangsu Province, People’s Republic of China; 5Department of Social Prevention and Control, The Affiliated Wuxi Mental Health Center with Nanjing Medical University, Wuxi, Jiangsu Province, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zaohuo ChengDepartment of Geriatric Psychiatry, The Affiliated Wuxi Mental Health Center with Nanjing Medical University, 156 Qianrong Road, Wuxi, 214151, Jiangsu Province, People’s Republic of ChinaTel +86 510 830 30359Fax +86 510 830 12201Email chengzaohuo@126.comBackground: Apolipoprotein (APOE) ϵ4 is recognized as an independent risk factor for mild cognitive impairment (MCI). However, not everyone with the ϵ4 allele develops MCI, suggesting that other susceptibility genes exist. This study aimed to identify MCI susceptibility genes, including BIN1, MC1R, STARD6, and PVRL2, in elderly Han Chinese and to verify their association with APOE ϵ4 allele in MCI onset.Methods: To determine whether polymorphisms in BIN1 (rs6733839, rs7561528), MC1R (rs2228479), STARD6 (rs10164112), and PVRL2 (rs6859) occurred in elderly MCI patients carrying APOE ϵ4 allele, we carried out a case–control study including 285 MCI patients and 326 healthy co

Published
2021

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