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5,085 results on '"CHEN, Zhuo"'

1. Use of a Remote Oncology Pharmacy Service Platform for Patients With Cancer During the COVID-19 Pandemic: Implementation and User Acceptance Evaluation

Author

Chen, Zhuo-Jia, Liang, Wei-Ting, Liu, Qing, He, Rong, Chen, Qian-Chao, Li, Qiu-Feng, Zhang, Yao, Du, Xiao-Dong, Pan, Ying, Liu, Shu, Li, Xiao-Yan, Wei, Xue, Huang, He, Huang, Hong-Bing, and Liu, Tao

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270
Abstract

BackgroundThe COVID-19 outbreak has increased challenges associated with health management, especially cancer management. In an effort to provide continuous pharmaceutical care to cancer patients, Sun Yat-sen University Cancer Center (SYSUCC) implemented a remote pharmacy service platform based on its already existing web-based hospital app known as Cloud SYSUCC. ObjectiveThe aim of this study was to investigate the characteristics, acceptance, and initial impact of the Cloud SYSUCC app during a COVID-19 outbreak in a tertiary cancer hospital in China. MethodsThe total number of online prescriptions and detailed information on the service were obtained during the first 6 months after the remote service platform was successfully set up. The patients’ gender, age, residence, primary diagnosis, drug classification, weekly number of prescriptions, and prescribed drugs were analyzed. In addition, a follow-up telephonic survey was conducted to evaluate patients’ satisfaction in using the remote prescription service. ResultsA total of 1718 prescriptions, including 2022 drugs for 1212 patients, were delivered to 24 provinces and municipalities directly under the Central Government of China between February 12, 2020, and August 11, 2020. The majority of patients were female (841/1212, 69.39%), and 90.18% (1093/1212) of them were aged 31-70 years old. The top 3 primary diagnoses for which remote medical prescriptions were made included breast cancer (599/1212, 49.42%), liver cancer (249/1212, 20.54%), and thyroid cancer (125/1212, 10.31%). Of the 1718 prescriptions delivered, 1435 (83.5%) were sent to Guangdong Province and 283 (16.5%) were sent to other provinces in China. Of the 2022 drugs delivered, 1012 (50.05%) were hormonal drugs. The general trend in the use of the remote prescription service declined since the 10th week. A follow-up telephonic survey found that 88% (88/100) of the patients were very satisfied, and 12% (12/100) of the patients were somewhat satisfied with the remote pharmacy service platform. ConclusionsThe remote pharmacy platform Cloud SYSUCC is efficient and convenient for providing continuous pharmaceutical care to patients with cancer during the COVID-19 crisis. The widespread use of this platform can help to reduce person-to-person transmission as well as infection risk for these patients. Further efforts are needed to improve the quality and acceptance of the Cloud SYSUCC platform, as well as to regulate and standardize the management of this novel service.

Published
2021
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16. Blocking the PD-1 signal transduction by occupying the phosphorylated ITSM recognition site of SHP-2

Author

Li, Wenjie, Mei, Wenyi, Jiang, Hewei, Wang, Jie, Li, Xiaoli, Quan, Lina, Diao, Yanyan, Ma, Yanni, Fan, Sisi, Xie, Zhuwei, Gong, Mengdie, Zhu, Huan, Bi, Dewen, Zhang, Feng, Ma, Lei, Zhang, Jian, Gao, Yufeng, Paschalidis, Aris, Lin, Honghuang, Liu, Fangfang, Liu, Kangdong, Ye, Mingliang, Zhao, Zhenjiang, Duan, Yajun, Chen, Zhuo, Xu, Yufang, Xiao, Weilie, Tao, Shengce, Zhu, Lili, and Li, Honglin

Published
2024
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28. Directional Texture Editing for 3D Models

Author

Liu, Shengqi, Chen, Zhuo, Gao, Jingnan, Yan, Yichao, Zhu, Wenhan, Lyu, Jiangjing, and Yang, Xiaokang

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Texture editing is a crucial task in 3D modeling that allows users to automatically manipulate the surface materials of 3D models. However, the inherent complexity of 3D models and the ambiguous text description lead to the challenge in this task. To address this challenge, we propose ITEM3D, a \textbf{T}exture \textbf{E}diting \textbf{M}odel designed for automatic \textbf{3D} object editing according to the text \textbf{I}nstructions. Leveraging the diffusion models and the differentiable rendering, ITEM3D takes the rendered images as the bridge of text and 3D representation, and further optimizes the disentangled texture and environment map. Previous methods adopted the absolute editing direction namely score distillation sampling (SDS) as the optimization objective, which unfortunately results in the noisy appearance and text inconsistency. To solve the problem caused by the ambiguous text, we introduce a relative editing direction, an optimization objective defined by the noise difference between the source and target texts, to release the semantic ambiguity between the texts and images. Additionally, we gradually adjust the direction during optimization to further address the unexpected deviation in the texture domain. Qualitative and quantitative experiments show that our ITEM3D outperforms the state-of-the-art methods on various 3D objects. We also perform text-guided relighting to show explicit control over lighting. Our project page: https://shengqiliu1.github.io/ITEM3D., Comment: project page: https://shengqiliu1.github.io/ITEM3D

Published
2023
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29. The geometric constraints on Filippov algebroids

Author

Bi, Yanhui, Chen, Zhixiong, Chen, Zhuo, and Xiang, Maosong

Subjects
Mathematics - Rings and Algebras, Mathematics - Differential Geometry, 53C15, 57R22
Abstract

Filippov n-algebroids are introduced by Grabowski and Marmo as a natural generalization of Lie algebroids. On this note, we characterized Filippov n-algebroid structures by considering certain multi-input connections, which we called Filippov connections, on the underlying vector bundle. Through this approach, we could express the n-ary bracket of any Filippov n-algebroid using a torsion-free type formula. Additionally, we transformed the generalized Jacobi identity of the Filippov n-algebroid into the Bianchi-Filippov identity. Furthermore, in the case of rank n vector bundles, we provided a characterization of linear Nambu-Poisson structures using Filippov connections., Comment: 14pages

Published
2023
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31. Benchmarking highly entangled states on a 60-atom analog quantum simulator

Author

Shaw, Adam L., Chen, Zhuo, Choi, Joonhee, Mark, Daniel K., Scholl, Pascal, Finkelstein, Ran, Elben, Andreas, Choi, Soonwon, and Endres, Manuel

Subjects
Quantum Physics, Physics - Atomic Physics
Abstract

Quantum systems have entered a competitive regime where classical computers must make approximations to represent highly entangled quantum states. However, in this beyond-classically-exact regime, fidelity comparisons between quantum and classical systems have so far been limited to digital quantum devices, and it remains unsolved how to estimate the actual entanglement content of experiments. Here we perform fidelity benchmarking and mixed-state entanglement estimation with a 60-atom analog Rydberg quantum simulator, reaching a high entanglement entropy regime where exact classical simulation becomes impractical. Our benchmarking protocol involves extrapolation from comparisons against an approximate classical algorithm, introduced here, with varying entanglement limits. We then develop and demonstrate an estimator of the experimental mixed-state entanglement, finding our experiment is competitive with state-of-the-art digital quantum devices performing random circuit evolution. Finally, we compare the experimental fidelity against that achieved by various approximate classical algorithms, and find that only the algorithm we introduce is able to keep pace with the experiment on the classical hardware we employ. Our results enable a new paradigm for evaluating the ability of both analog and digital quantum devices to generate entanglement in the beyond-classically-exact regime, and highlight the evolving divide between quantum and classical systems., Comment: ALS, ZC, JC, and DKM contributed equally

Published
2023
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40. Asymptomatic infection and disappearance of clinical symptoms of COVID-19 infectors in China 2022–2023: a cross-sectional study

Author

Zhang, Kaige, Zhong, Xiaoying, Fan, Xiaodan, Yu, Dongdong, Chen, Zhuo, Zhao, Chen, Zhang, Xiaoyu, Guan, Zhiyue, Wei, Xuxu, Wan, Siqi, Zhang, Xuecheng, Zhao, Mengzhu, Dai, Qianqian, Liu, Wenjing, Xu, Qianqian, Kong, Yifan, Han, Songjie, Lin, Hongyuan, Wang, Wenhui, Jiang, Huiru, Gu, Chunling, Zhang, Xiaowei, Jiang, Tong, Liu, Shuling, Cui, Herong, Yang, Xinyu, Jiang, Yin, Chen, Zhao, Sun, Yang, Tao, Liyuan, Zheng, Rui, Qiu, Ruijin, You, Liangzhen, and Shang, Hongcai

Published
2024
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