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3,498 results on '"Song, Zhen"'

1. Forecasting the Future with Future Technologies: Advancements in Large Meteorological Models

Author

Shu, Hailong, Wang, Yue, Song, Weiwei, Guo, Huichuang, and Song, Zhen

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Physics - Atmospheric and Oceanic Physics
Abstract

The field of meteorological forecasting has undergone a significant transformation with the integration of large models, especially those employing deep learning techniques. This paper reviews the advancements and applications of these models in weather prediction, emphasizing their role in transforming traditional forecasting methods. Models like FourCastNet, Pangu-Weather, GraphCast, ClimaX, and FengWu have made notable contributions by providing accurate, high-resolution forecasts, surpassing the capabilities of traditional Numerical Weather Prediction (NWP) models. These models utilize advanced neural network architectures, such as Convolutional Neural Networks (CNNs), Graph Neural Networks (GNNs), and Transformers, to process diverse meteorological data, enhancing predictive accuracy across various time scales and spatial resolutions. The paper addresses challenges in this domain, including data acquisition and computational demands, and explores future opportunities for model optimization and hardware advancements. It underscores the integration of artificial intelligence with conventional meteorological techniques, promising improved weather prediction accuracy and a significant contribution to addressing climate-related challenges. This synergy positions large models as pivotal in the evolving landscape of meteorological forecasting., Comment: 5 pages

Published
2024

2. LightSword: A Customized Virtual Reality Exergame for Long-Term Cognitive Inhibition Training in Older Adults

Author

Du, Qiuxin, Song, Zhen, Jiang, Haiyan, Wei, Xiaoying, Weng, Dongdong, and Fan, Mingming

Subjects
Computer Science - Human-Computer Interaction
Abstract

The decline of cognitive inhibition significantly impacts older adults' quality of life and well-being, making it a vital public health problem in today's aging society. Previous research has demonstrated that Virtual reality (VR) exergames have great potential to enhance cognitive inhibition among older adults. However, existing commercial VR exergames were unsuitable for older adults' long-term cognitive training due to the inappropriate cognitive activation paradigm, unnecessary complexity, and unbefitting difficulty levels. To bridge these gaps, we developed a customized VR cognitive training exergame (LightSword) based on Dual-task and Stroop paradigms for long-term cognitive inhibition training among healthy older adults. Subsequently, we conducted an eight-month longitudinal user study with 12 older adults aged 60 years and above to demonstrate the effectiveness of LightSword in improving cognitive inhibition. After the training, the cognitive inhibition abilities of older adults were significantly enhanced, with benefits persisting for 6 months. This result indicated that LightSword has both short-term and long-term effects in enhancing cognitive inhibition. Furthermore, qualitative feedback revealed that older adults exhibited a positive attitude toward long-term training with LightSword, which enhanced their motivation and compliance., Comment: 23 pages

Published
2024
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4. High-order BDF convolution quadrature for stochastic fractional evolution equations driven by integrated additive noise

Author

Chen, Minghua, Shi, Jiankang, Song, Zhen, Yan, Yubin, and Zhou, Zhi

Subjects
Mathematics - Numerical Analysis
Abstract

The numerical analysis of stochastic time fractional evolution equations presents considerable challenges due to the limited regularity of the model caused by the nonlocal operator and the presence of noise. The existing time-stepping methods exhibit a significantly low order convergence rate. In this work, we introduce a smoothing technique and develop the novel high-order schemes for solving the linear stochastic fractional evolution equations driven by integrated additive noise. Our approach involves regularizing the additive noise through an $m$-fold integral-differential calculus, and discretizing the equation using the $k$-step BDF convolution quadrature. This novel method, which we refer to as the ID$m$-BDF$k$ method, is able to achieve higher-order convergence in solving the stochastic models. Our theoretical analysis reveals that the convergence rate of the ID$2$-BDF2 method is $O(\tau^{\alpha + \gamma -1/2})$ for $1< \alpha + \gamma \leq 5/2$, and $O(\tau^{2})$ for $5/2< \alpha + \gamma <3$, where $\alpha \in (1, 2)$ and $\gamma \in (0, 1)$ denote the time fractional order and the order of the integrated noise, respectively. Furthermore, this convergence rate could be improved to $O(\tau^{\alpha + \gamma -1/2})$ for any $\alpha \in (1, 2)$ and $\gamma \in (0, 1)$, if we employ the ID$3$-BDF3 method. The argument could be easily extended to the subdiffusion model with $\alpha \in (0, 1)$. Numerical examples are provided to support and complement the theoretical findings., Comment: 22pages

Published
2024

6. Fibroblasts in heart scar tissue directly regulate cardiac excitability and arrhythmogenesis

Author

Wang, Yijie, Li, Qihao, Tao, Bo, Angelini, Marina, Ramadoss, Sivakumar, Sun, Baiming, Wang, Ping, Krokhaleva, Yuliya, Ma, Feiyang, Gu, Yiqian, Espinoza, Alejandro, Yamauchi, Ken, Pellegrini, Matteo, Novitch, Bennett, Olcese, Riccardo, Qu, Zhilin, Song, Zhen, and Deb, Arjun

Subjects
Engineering, Medical Physiology, Biomedical and Clinical Sciences, Biomedical Engineering, Heart Disease, Heart Disease - Coronary Heart Disease, Cardiovascular, 2.1 Biological and endogenous factors, Animals, Mice, Arrhythmias, Cardiac, Cicatrix, Fibroblasts, Myocytes, Cardiac, Channelrhodopsins, Optogenetics, Connexin 43, Gene Knockout Techniques, General Science & Technology
Abstract

After heart injury, dead heart muscle is replaced by scar tissue. Fibroblasts can electrically couple with myocytes, and changes in fibroblast membrane potential can lead to myocyte excitability, which suggests that fibroblast-myocyte coupling in scar tissue may be responsible for arrhythmogenesis. However, the physiologic relevance of electrical coupling of myocytes and fibroblasts and its impact on cardiac excitability in vivo have never been demonstrated. We genetically engineered a mouse that expresses the optogenetic cationic channel ChR2 (H134R) exclusively in cardiac fibroblasts. After myocardial infarction, optical stimulation of scar tissue elicited organ-wide cardiac excitation and induced arrhythmias in these animals. Complementing computational modeling with experimental approaches, we showed that gap junctional and ephaptic coupling, in a synergistic yet functionally redundant manner, excited myocytes coupled to fibroblasts.

Published
2023

17. Efficacy and safety of human umbilical cord-derived mesenchymal stem cells in the treatment of refractory immune thrombocytopenia: a prospective, single arm, phase I trial

Author

Chen, Yunfei, Xu, Yanmei, Chi, Ying, Sun, Ting, Gao, Yuchen, Dou, Xueqing, Han, Zhibo, Xue, Feng, Li, Huiyuan, Liu, Wei, Liu, Xiaofan, Dong, Huan, Fu, Rongfeng, Ju, Mankai, Dai, Xinyue, Wang, Wentian, Ma, Yueshen, Song, Zhen, Gu, Jundong, Gong, Wei, Yang, Renchi, and Zhang, Lei

Published
2024
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30. An Indicator Based Evolutionary Algorithm for Multiparty Multiobjective Knapsack Problems

Author

Song, Zhen, Luo, Wenjian, Xu, Peilan, Ye, Zipeng, Chen, Kesheng, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Shi, Zhongzhi, editor, Torresen, Jim, editor, and Yang, Shengxiang, editor

Published
2024
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31. Modeling of Drama Performance Intelligent Evaluation Driven by Multimodal Data

Author

Song, Zhen, Wu, Yufeng, Zhang, Longfei, Tao, Wenting, Li, Lijie, Ding, Gangyi, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Lin, Jerry Chun-Wei, editor, Shieh, Chin-Shiuh, editor, Horng, Mong-Fong, editor, and Chu, Shu-Chuan, editor

Published
2024
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34. Comparative efficacy of Bacillus Calmette–Guérin instillation and radical cystectomy treatments for high-risk non-muscle-invasive urothelial cancer classified as high-grade T1 in initial and repeat transurethral resection of bladder tumor

Author

Song Zhen, Chen Hao, Yu Yanhang, Lin Yuxin, Ouyang Jun, and Zhang Zhiyu

Subjects
high-risk non-muscle-invasive urothelial cancer, Bacillus Calmette-Guérin instillation, radical cystectomy, overall survival, progression-free survival, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

ObjectiveTo compare the differential therapeutic effects of Bacillus Calmette-Guérin (BCG) instillation and radical cystectomy (RC) for high-risk non-muscle–invasive urothelial cancer (NMIBC) classified as high-grade T1 in initial and repeat transurethral resection of bladder tumors (TURBT) and to construct a prediction model.MethodsWe retrospectively analyzed the clinical data of patients with malignant bladder tumors treated at the First Affiliated Hospital of Soochow University from January 2016 to December 2017 and compared the differences in 1-year, 2-year, 3-year, 5-year, and comprehensive overall survival (OS) and progression-free survival (PFS) between BCG instillation treatment and RC treatment. Survival curves were drawn to show differences in OS and PFS between the two groups. Concurrently, univariate and multivariate COX analyses were performed to identify risk factors affecting OS and PFS, and a nomogram was created.ResultsIn total, 146 patients were included in the study, of whom 97 and 49 were in the BCG and RC groups, respectively. No statistical differences were observed in the 1- and 2-year OS and PFS between the two groups, whereas significant statistical differences were found in the 3-year, 5-year, and comprehensive OS and PFS. Survival curves also confirmed the statistical differences in OS and PFS between the BCG and RC groups. Multivariate COX analysis revealed that the treatment method, concomitant satellite lesions, and albumin-to-alkaline phosphatase ratio (AAPR) were independent risk factors affecting OS and PFS. The nomogram that was further plotted showed good predictive ability for OS and PFS.ConclusionFor patients who exhibit high-level T1 pathology after both initial and repeat TURBT, especially those with low AAPR, and concomitant satellite lesions, choosing RC as a treatment method offers a better prognosis.

Published
2024
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