Search Results - Ming Pan

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  1. 1
    Exploring the Potential of Electroencephalography Signal–Based Image Generation Using Diffusion Models: Integrative Framework Combining Mixed Methods and Multimodal Analysis

    Exploring the Potential of Electroencephalography Signal–Based Image Generation Using Diffusion Models: Integrative Framework Combining Mixed Methods and Multimodal Analysis by Chi-Sheng Chen, Shao-Hsuan Chang, Che-Wei Liu, Tung-Ming Pan

    Published 2025-06-01

    BackgroundElectroencephalography (EEG) has been widely used to measure brain activity, but its potential to generate accurate images from neural signals remains a challenge. Most EEG-decoding research has focused on tasks such as motor imagery, emotion recognition, and brain...

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  2. 2
    Electrochemical Conversion of Low-Concentration CO2 Promoted by a Guanidine Polymer

    Electrochemical Conversion of Low-Concentration CO2 Promoted by a Guanidine Polymer by Yong-Zhou Pan, Xian-Chen Lin, Ying Liang, Qiang Xia, Fei-Hu Cui, Hai-Tao Tang, Ying-Ming Pan

    Published 2025-07-01 Get full text
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  3. 3
    Are Urinary Tubular Injury Markers Useful in Chronic Kidney Disease? A Systematic Review and Meta Analysis.

    Are Urinary Tubular Injury Markers Useful in Chronic Kidney Disease? A Systematic Review and Meta Analysis. by Le-Ting Zhou, Lin-Li Lv, Ming-Ming Pan, Yu-Han Cao, Hong Liu, Ye Feng, Hai-Feng Ni, Bi-Cheng Liu

    Published 2016-01-01

    <h4>Background</h4>Adverse outcome of chronic kidney disease, such as end stage renal disease, is a significant burden on personal health and healthcare costs. Urinary tubular injury markers, such as NGAL, KIM-1 and NAG, could provide useful prognostic value for the early identification...

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  4. 4
    FS2 encodes an ARID-HMG transcription factor that regulates fruit spine density in cucumber

    FS2 encodes an ARID-HMG transcription factor that regulates fruit spine density in cucumber by Hui Du, Yue Chen, Liangrong Xiong, Juan Liu, Keyan Zhang, Ming Pan, Haifan Wen, Huanle He, Run Cai, Junsong Pan, Gang Wang

    Published 2025-03-01

    Fruit spine density is an important commercial trait for cucumber (Cucumis sativus L.). Most North China-type cucumbers that are grown over large areas have a dense-spine phenotype, which directly affects the appearance quality, storage, and transportation of the fruits. Here, we isolated a novel fe...

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  5. 5
    Global Daily Discharge Estimation Based on Grid Long Short‐Term Memory (LSTM) Model and River Routing

    Global Daily Discharge Estimation Based on Grid Long Short‐Term Memory (LSTM) Model and River Routing by Yuan Yang, Dapeng Feng, Hylke E. Beck, Weiming Hu, Ather Abbas, Agniv Sengupta, Luca Delle Monache, Robert Hartman, Peirong Lin, Chaopeng Shen, Ming Pan

    Published 2025-06-01

    Abstract To expand the spatial coverage of the conventional Basin Long Short‐Term Memory (LSTM) model for river discharge estimation beyond pre‐selected individual locations, we developed a discharge modeling scheme, Grid LSTM‐RAPID, to estimate discharge for every river reach worldwide. Grid LSTM‐R...

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  6. 6
    Blue light induces leaf color change by modulating carotenoid metabolites in orange-head Chinese cabbage (Brassica rapa L. ssp. pekinensis)

    Blue light induces leaf color change by modulating carotenoid metabolites in orange-head Chinese cabbage (Brassica rapa L. ssp. pekinensis) by Rui-xing ZHANG, Ni-nan ZHANG, Ya-xiu WANG, ABID Khan, Shuai MA, Xue BAI, Qi ZENG, Qi-ming PAN, Bao-hua LI, Lu-gang ZHANG

    Published 2023-11-01

    Carotenoids are involved in the formation of plant leaf color as well as photosystem photoprotection. This study showed that blue light significantly induced up-regulation of the total carotenoid content in the inner leaves of orange-head Chinese cabbage (OHCC). Furthermore, the transcriptomic analy...

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  7. 7
    Deep learning integration of chest computed tomography and plasma proteomics to identify novel aspects of severe COVID-19 pneumonia

    Deep learning integration of chest computed tomography and plasma proteomics to identify novel aspects of severe COVID-19 pneumonia by Yucai Hong, Lin Chen, Yang Yu, Ziyue Zhao, Ronghua Wu, Rui Gong, Yandong Cheng, Lingmin Yuan, Shaojun Zheng, Cheng Zheng, Ronghai Lin, Jianping Chen, Kangwei Sun, Ping Xu, Li Ye, Chaoting Han, Xihao Zhou, Yaqing Liu, Jianhua Yu, Yaqin Zheng, Jie Yang, Jiajie Huang, Juan Chen, Junjie Fang, Chensong Chen, Bo Fan, Honglong Fang, Baning Ye, Xiyun Chen, Xiaoli Qian, Junxiang Chen, Haitao Yu, Jun Zhang, Xi-Ming Pan, Yi-Xing Zhan, You-Hai Zheng, Zhang-Hong Huang, Chao Zhong, Ning Liu, Hongying Ni, Gengsheng Zhang, Zhongheng Zhang

    Published 2025-07-01

    Background: Heterogeneity is a critical characteristic of severe coronavirus disease 2019 (COVID-19) pneumonia. Integrating chest computed tomography (CT) imaging and plasma proteomics holds the potential to elucidate Image-Expression Axes (IEAs) that can effectively address this disease heterogenei...

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