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174 results on '"Tian, Jia-wei"'

4. Efficient Federated Learning Scheme Based on Background Optimization

Author

GUO Gui-juan, TIAN Hui, WANG Tian, JIA Wei-jia

Subjects
federated learning, background optimization, equipment classification, irrelevance, difference value, Computer software, QA76.75-76.765, Technology (General), T1-995
Abstract

Federated learning can effectively ensure the privacy and security of data because it trains data locally on the client.The study of federal learning has made great progress.However,due to the existence of non-independent and identically distributed data,unbalanced data amount and data type,the client will inevitably have problems such as lack of accuracy and low training efficiency when using local data for training.In order to deal with the problem that the federal learning efficiency is reduced due to the difference of the federal learning background,this paper proposes an efficient federated learning scheme based on background optimization to improve the accuracy of the local model in the terminal device,so as to reduce the communication cost and improve the training efficiency of the whole model.Specifically,the first device and the second device are selected according to the diffe-rence in accuracy in different environments,and the irrelevance between the first device model and the global model (hereafter we collectively refer to as the difference value) is taken as the standard difference value.Whether the second device uploads the local model is determined by the value of the difference between the second device and the first device.Experimental results show that compared with the traditional federated learning,the proposed scheme performs better than the federated average algorithm in common federated learning scenarios,and improves the accuracy by about 7.5% in the MINIST data sets.In the CIFAR-10 data set,accuracy improves by about 10%.

Published
2022
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7. Gail Model Improves the Diagnostic Performance of the Fifth Edition of Ultrasound BI-RADS for Predicting Breast Cancer: A Multicenter Prospective Study

Author

Gao, Lu-Ying, Gu, Yang, Tian, Jia-Wei, Ran, Hai-Tao, Ren, Wei-Dong, Chang, Cai, Yuan, Jian-Jun, Kang, Chun-Song, Deng, You-Bin, Luo, Bao-Ming, Zhou, Qi, Zhan, Wei-Wei, Zhou, Qing, Li, Jie, Zhou, Ping, Zhang, Chun-Quan, Chen, Man, Gu, Ying, Guo, Jian-Feng, Chen, Wu, Zhang, Yu-Hong, Li, Jian-Chu, Wang, Hong-Yan, and Jiang, Yu-Xin

Published
2022
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8. The Utility of the Fifth Edition of the BI-RADS Ultrasound Lexicon in Category 4 Breast Lesions: A Prospective Multicenter Study in China

Author

Gu, Yang, Tian, Jia-Wei, Ran, Hai-Tao, Ren, Wei-Dong, Chang, Cai, Yuan, Jian-Jun, Kang, Chun-Song, Deng, You-Bin, Wang, Hui, Luo, Bao-Ming, Guo, Sheng-Lan, Zhou, Qi, Xue, En-Sheng, Zhan, Wei-Wei, Zhou, Qing, Li, Jie, Zhou, Ping, Zhang, Chun-Quan, Chen, Man, Gu, Ying, Xu, Jin-Feng, Chen, Wu, Zhang, Yu-Hong, Wang, Hong-Qiao, Li, Jian-Chu, Wang, Hong-Yan, and Jiang, Yu-Xin

Published
2022
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15. Molecular Prevalence, Genetic Diversity, and Tissue Tropism of Bartonella Species in Small Mammals from Yunnan Province, China

Author

Han, Pei-Yu, Xu, Fen-Hui, Tian, Jia-Wei, Zhao, Jun-Ying, Yang, Ze, Kong, Wei, Wang, Bo, Guo, Li-Jun, Zhang, Yun-Zhi, Han, Pei-Yu, Xu, Fen-Hui, Tian, Jia-Wei, Zhao, Jun-Ying, Yang, Ze, Kong, Wei, Wang, Bo, Guo, Li-Jun, and Zhang, Yun-Zhi

Abstract

Bartonella is an intracellular parasitic zoonotic pathogen that can infect animals and cause a variety of human diseases. This study investigates Bartonella prevalence in small mammals in Yunnan Province, China, focusing on tissue tropism. A total of 333 small mammals were sampled from thirteen species, three orders, four families, and four genera in Heqing and Gongshan Counties. Conventional PCR and real-time quantitative PCR (qPCR) were utilized for detection and quantification, followed by bioinformatic analysis of obtained DNA sequences. Results show a 31.5% detection rate, varying across species. Notably, Apodemus chevrieri, Eothenomys eleusis, Niviventer fulvescens, Rattus tanezumi, Episoriculus leucops, Anourosorex squamipes, and Ochotona Thibetana exhibited infection rates of 44.4%, 27.7%, 100.0%, 6.3%, 60.0%, 23.5%, and 22.2%, respectively. Genetic analysis identified thirty, ten, and five strains based on ssrA, rpoB, and gltA genes, with nucleotide identities ranging from 92.1% to 100.0%. Bartonella strains were assigned to B. grahamii, B. rochalimae, B. sendai, B. koshimizu, B. phoceensis, B. taylorii, and a new species identified in Episoriculus leucops (GS136). Analysis of the different tissues naturally infected by Bartonella species revealed varied copy numbers across different tissues, with the highest load in spleen tissue. These findings underscore Bartonella’s diverse species and host range in Yunnan Province, highlighting the presence of extensive tissue tropism in Bartonella species naturally infecting small mammalian tissues.

Published
2024

24. Correction: Xu et al. Detection of Alpha- and Betacoronaviruses in Small Mammals in Western Yunnan Province, China. Viruses 2023, 15 , 1965.

Author

Xu, Fen-Hui, Han, Pei-Yu, Tian, Jia-Wei, Zong, Li-Dong, Yin, Hong-Min, Zhao, Jun-Ying, Yang, Ze, Kong, Wei, Ge, Xing-Yi, and Zhang, Yun-Zhi

Subjects
RATTUS rattus, SHREWS, MAMMALS, VOLES, MICE
Abstract

A correction notice was issued for a study on the detection of Alpha- and Betacoronaviruses in small mammals in Western Yunnan Province, China. The correction involved updating the species name "Short-tailed shrew" to "Chinese mole shrew" in Table 2 of the publication. The scientific conclusions of the study were deemed unaffected by this correction, which was approved by the Academic Editor. [Extracted from the article]

Published
2024
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26. Ferroptosis in Cancer Progression: Role of Noncoding RNAs

Author

Zuo, Ying-Bing, primary, Zhang, Yin-Feng, additional, Zhang, Rui, additional, Tian, Jia-Wei, additional, Lv, Xiao-Bing, additional, Li, Rong, additional, Li, Shu-Ping, additional, Cheng, Meng-Die, additional, Shan, Jing, additional, Zhao, Zheng, additional, and Xin, Hui, additional

Published
2022
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29. Epididymis cell atlas in a patient with a sex development disorder and a novel NR5A1 gene mutation.

Author

Shi, Jian-Wu, Zhou, Yi-Wen, Chen, Yu-Fei, Ye, Mei, Qiao, Feng, Tian, Jia-Wei, Zhang, Meng-Ya, Lin, Hao-Cheng, Xie, Gang-Cai, Fok, Kin, Jiang, Hui, Liu, Yang, and Chen, Hao

Abstract

This study aims to characterize the cell atlas of the epididymis derived from a 46,XY disorders of sex development (DSD) patient with a novel heterozygous mutation of the nuclear receptor subfamily 5 group A member 1 (NR5A1) gene. Next-generation sequencing found a heterozygous c.124C>G mutation in NR5A1 that resulted in a p.Q42E missense mutation in the conserved DNA-binding domain of NR5A1. The patient demonstrated feminization of external genitalia and Tanner stage 1 breast development. The surgical procedure revealed a morphologically normal epididymis and vas deferens but a dysplastic testis. Microfluidic-based single-cell RNA sequencing (scRNA-seq) analysis found that the fibroblast cells were significantly increased (approximately 46.5%), whereas the number of main epididymal epithelial cells (approximately 9.2%), such as principal cells and basal cells, was dramatically decreased. Bioinformatics analysis of cell–cell communications and gene regulatory networks at the single-cell level inferred that epididymal epithelial cell loss and fibroblast occupation are associated with the epithelial-to-mesenchymal transition (EMT) process. The present study provides a cell atlas of the epididymis of a patient with 46,XY DSD and serves as an important resource for understanding the pathophysiology of DSD. [ABSTRACT FROM AUTHOR]

Published
2023
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36. Risk-predicted dual nomograms consisting of clinical and ultrasound factors for downgrading BI-RADS category 4a breast lesions - A multiple centre study

Author

Niu, Zihan, primary, Tian, Jia-Wei, additional, Ran, Hai-Tao, additional, Ren, Wei-Dong, additional, Chang, Cai, additional, Yuan, Jian-Jun, additional, Kang, Chun-Song, additional, Deng, You-Bin, additional, Wang, Hui, additional, Luo, Bao-Ming, additional, Guo, Sheng-Lan, additional, Zhou, Qi, additional, Xue, En-Sheng, additional, Zhan, Wei-Wei, additional, Zhou, Qing, additional, Li, Jie, additional, Zhou, Ping, additional, Zhang, Chun-Quan, additional, Chen, Man, additional, Gu, Ying, additional, Xu, Jin-Feng, additional, Chen, Wu, additional, Zhang, Yu-Hong, additional, Wang, Hong-Qiao, additional, Li, Jian-Chu, additional, Wang, Hong-Yan, additional, and Jiang, Yu-Xin, additional

Published
2021
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40. Can Combined Screening of Ultrasound and Elastography Improve Breast Cancer Identification Compared with MRI in Women with Dense Breasts-a Multicenter Prospective Study

Author

Gao, Lu-Ying, primary, Gu, Yang, additional, Xu, Wen, additional, Tian, Jia-Wei, additional, Yin, Li-Xue, additional, Ran, Hai-Tao, additional, Ren, Wei-Dong, additional, Mu, Yu-Ming, additional, Zhang, Jie-Ying, additional, Chang, Cai, additional, Yuan, Jian-Jun, additional, Kang, Chun-Song, additional, Deng, You-Bin, additional, Wang, Hui, additional, Xie, Xiao-Yan, additional, Luo, Bao-Ming, additional, Guo, Sheng-Lan, additional, Zhou, Qi, additional, Xue, En-Sheng, additional, Zhan, Wei-Wei, additional, Jiao, Tong, additional, Zhou, Qing, additional, Li, Jie, additional, Zhou, Ping, additional, Huang, Pin-Tong, additional, Xue, Hong-Yuan, additional, Zhang, Chun-Quan, additional, Chen, Man, additional, Jing, Xiang-Xiang, additional, Gu, Ying, additional, Guo, Jian-Feng, additional, Ding, Hong-Yu, additional, Xu, Jin-Feng, additional, Chen, Wu, additional, Liu, Li, additional, Zhang, Yu-Hong, additional, Wang, Hong-Qiao, additional, Mu, Zhong-Ping, additional, Li, Jian-Chu, additional, Wang, Hong-Yan, additional, and Jiang, Yu-Xin, additional

Published
2020
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41. Effect of a Novel Segmentation Algorithm on Radiologists’ Diagnosis of Breast Masses Using Ultrasound Imaging

Author

Cheng Heng-Da, Tian Jia-Wei, Guo Yan-hui, Tang Xianglong, and Ning Chun-Ping

Subjects
Adult, medicine.medical_specialty, Acoustics and Ultrasonics, Biophysics, Breast Neoplasms, BI-RADS, Conventional ultrasound, Sensitivity and Specificity, Pattern Recognition, Automated, Image Interpretation, Computer-Assisted, Humans, Medicine, Radiology, Nuclear Medicine and imaging, Segmentation, Aged, Aged, 80 and over, Observer Variation, Radiological and Ultrasound Technology, Receiver operating characteristic, business.industry, Computer aid, Ultrasound, Curve analysis, Reproducibility of Results, Middle Aged, Image Enhancement, Ultrasound imaging, Female, Ultrasonography, Mammary, Radiology, business, Nuclear medicine, Algorithm, Algorithms
Abstract

We investigated the effect of using a novel segmentation algorithm on radiologists' sensitivity and specificity for discriminating malignant masses from benign masses using ultrasound. Five-hundred ten conventional ultrasound images were processed by a novel segmentation algorithm. Five radiologists were invited to analyze the original and computerized images independently. Performances of radiologists with or without computer aid were evaluated by receiver operating characteristic (ROC) curve analysis. The masses became more obvious after being processed by the segmentation algorithm. Without using the algorithm, the areas under the ROC curve (Az) of the five radiologists ranged from 0.70∼0.84. Using the algorithm, the Az increased significantly (range, 0.79∼0.88; p0.001). The proposed segmentation algorithm could improve the radiologists' diagnosis performance by reducing the image speckles and extracting the mass margin characteristics.

Published
2012
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