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308 results on '"Wang, Shouyi"'

1. The Remarkable X-ray Spectra and Variability of the Ultraluminous Weak-Line Quasar SDSS J1521+5202

Author

Wang, Shouyi, Brandt, W. Niel, Luo, Bin, Yu, Zhibo, Zou, Fan, Ni, Qingling, and Vito, Fabio

Subjects
Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Astrophysics of Galaxies
Abstract

We present a focused X-ray and multiwavelength study of the ultraluminous weak-line quasar (WLQ) SDSS J1521+5202, one of the few X-ray weak WLQs that is amenable to basic X-ray spectral and variability investigations. J1521+5202 shows striking X-ray variability during 2006--2023, by up to a factor of $\approx 32$ in 0.5--2 keV flux, and our new 2023 Chandra observation caught it in its brightest X-ray flux state to date. Concurrent infrared/optical observations show only mild variability. The 2023 Chandra spectrum can be acceptably described by a power law with intrinsic X-ray absorption, and it reveals a nominal intrinsic level of X-ray emission relative to its optical/ultraviolet emission. In contrast, an earlier Chandra spectrum from 2013 shows apparent spectral complexity that is not well fit by a variety of models, including ionized-absorption or standard Compton-reflection models. Overall, the observations are consistent with the thick-disk plus outflow model previously advanced for WLQs, where a nominal level of underlying X-ray emission plus variable absorption lead to the remarkable observed X-ray variability. In the case of J1521+5202 it appears likely that the outflow, and not the thick disk itself, lies along our line-of-sight and causes the X-ray absorption., Comment: 11 pages, 3 figures, accepted for publication in ApJ

Published
2024

4. A Statistician Teaches Deep Learning

Author

Babu, G. Jogesh, Banks, David, Cho, Hyunsoon, Han, David, Sang, Hailin, and Wang, Shouyi

Subjects
Statistics - Machine Learning, Computer Science - Computers and Society, Computer Science - Machine Learning
Abstract

Deep learning (DL) has gained much attention and become increasingly popular in modern data science. Computer scientists led the way in developing deep learning techniques, so the ideas and perspectives can seem alien to statisticians. Nonetheless, it is important that statisticians become involved -- many of our students need this expertise for their careers. In this paper, developed as part of a program on DL held at the Statistical and Applied Mathematical Sciences Institute, we address this culture gap and provide tips on how to teach deep learning to statistics graduate students. After some background, we list ways in which DL and statistical perspectives differ, provide a recommended syllabus that evolved from teaching two iterations of a DL graduate course, offer examples of suggested homework assignments, give an annotated list of teaching resources, and discuss DL in the context of two research areas., Comment: 19 pages, accepted by Journal of Statistical Theory and Practice

Published
2021

5. Boost-S: Gradient Boosted Trees for Spatial Data and Its Application to FDG-PET Imaging Data

Author

Iranzad, Reza, Liu, Xiao, Chaovalitwongse, W. Art, Hippe, Daniel S., Wang, Shouyi, Han, Jie, Thammasorn, Phawis, Duan, Chunyan, Zeng, Jing, and Bowen, Stephen R.

Subjects
Statistics - Applications
Abstract

Boosting Trees are one of the most successful statistical learning approaches that involve sequentially growing an ensemble of simple regression trees (i.e., "weak learners"). However, gradient boosted trees are not yet available for spatially correlated data. This paper proposes a new gradient Boosted Trees algorithm for Spatial Data (Boost-S) with covariate information. Boost-S integrates the spatial correlation structure into the classical framework of gradient boosted trees. Each tree is grown by solving a regularized optimization problem, where the objective function involves two penalty terms on tree complexity and takes into account the underlying spatial correlation. A computationally-efficient algorithm is proposed to obtain the ensemble trees. The proposed Boost-S is applied to the spatially-correlated FDG-PET (fluorodeoxyglucose-positron emission tomography) imaging data collected during cancer chemoradiotherapy. Our numerical investigations successfully demonstrate the advantages of the proposed Boost-S over existing approaches for this particular application.

Published
2021

6. Precise classification and regional delineation of maturity groups in soybean cultivars across China

Author

Song, Wenwen, Liu, Luping, Sun, Shi, Wu, Tingting, Zeng, Haiyan, Tian, Shiyan, Sun, Bincheng, Li, Wenbin, Liu, Lijun, Wang, Shuming, Xing, Han, Zhou, Xin’an, Nian, Hai, Lu, Wencheng, Han, Xiaozeng, Wang, Shouyi, Chen, Weiyuan, Guo, Tai, Song, Xiqing, Tian, Zhongyan, Cheng, Yanxi, Song, Shuhong, Fu, Lianshun, Wang, Huicai, Luo, Ruiping, Liu, Xueyi, Liu, Qi, Zhang, Guohong, Lu, Sihui, Xu, Ran, Li, Suzhen, Lu, Weiguo, Zhang, Qi, Wang, Zongbiao, Jiang, Chengong, Shen, Weiliang, Zhang, Mingrong, Zhu, Danhua, Wang, Ruizhen, Chen, Yuan, Wang, Tiejun, Zhu, Xingtao, Zhan, Yong, Jiang, Bingjun, Xu, Cailong, Yuan, Shan, Hou, Wensheng, Gai, Junyi, Wu, Cunxiang, and Han, Tianfu

Published
2023
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13. Hollow CuSe nanocubes as a bifunctional electrocatalyst for energy-saving overall urea–water electrolysis.

Author

Wang, Shouyi, Liu, Siyu, Yang, Ying, Jiang, Jiayao, Li, Leijiao, and Wang, Tingting

Subjects
*WATER electrolysis, *ELECTROLYSIS, *ION transport (Biology), *FAST ions, *OVERPOTENTIAL, *HYDROGEN production, *DYE-sensitized solar cells
Abstract

Overall urea–water electrolysis has the potential to be employed in the purification of urea-containing wastewater and the production of hydrogen. However, the lack of cost-effective catalysts currently presents a significant obstacle to the further development of this technology. Through a simple template-directed selenium reaction in a novel type of highly active solution, an interface engineering strategy was designed to synthesize hollow CuSe nanocubes as an efficient bifunctional catalyst. The unique hollow CuSe nanocubes exhibit significant catalytic efficiency because of their larger electrolyte contact area and faster ion transport. In 1 M KOH with a 0.5 M urea electrolyte, CuSe/NF required an overpotential of 199 mV for HER and a potential of 1.38 V for UOR to achieve a current density of 10 mA cm−2. It can work stably for 24 h without significant degradation of activity at 10 mA cm−2, showing excellent durability and excellent stability. For overall urea–water electrolysis, it exhibits a remarkable activity with a low cell voltage of 1.61 V at 10 mA cm−2. Consequently, the design strategy of this unique hollow-structured CuSe provides a new insight to improve electrocatalytic performance and stability. [ABSTRACT FROM AUTHOR]

Published
2024
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16. Uncovering Dynamic Functional Connectivity of Parkinson’s Disease Using Topological Features and Sparse Group Lasso

Author

Puk, Kin Ming, Xiang, Wei, Wang, Shouyi, Xiao, Cao (Danica), Chaovalitwongse, W. A., Madhyastha, Tara, Grabowski, Thomas, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Wang, Shouyi, editor, Yamamoto, Vicky, editor, Su, Jianzhong, editor, Yang, Yang, editor, Jones, Erick, editor, Iasemidis, Leon, editor, and Mitchell, Tom, editor

Published
2018
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17. Construction of Sparse Weighted Directed Network (SWDN) from the Multivariate Time-Series

Author

Hosseini, Rahilsadat, Liu, Feng, Wang, Shouyi, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Wang, Shouyi, editor, Yamamoto, Vicky, editor, Su, Jianzhong, editor, Yang, Yang, editor, Jones, Erick, editor, Iasemidis, Leon, editor, and Mitchell, Tom, editor

Published
2018
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18. Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization

Author

Liu, Feng, Wang, Shouyi, Qin, Jing, Lou, Yifei, Rosenberger, Jay, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Wang, Shouyi, editor, Yamamoto, Vicky, editor, Su, Jianzhong, editor, Yang, Yang, editor, Jones, Erick, editor, Iasemidis, Leon, editor, and Mitchell, Tom, editor

Published
2018
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22. Anisodamine combined with lidocaine improves healing of myocardial ischemia reperfusion injury in rats via PI3K/Akt signaling pathway

Author

Wang, Shouyi, Chen, Jiahao, Wang, Jie, Que, Hongbo, Wei, Daming, Zhu, Yanhao, Liu, Qin, Liu, Yu, and Zhu, Chunyan

Subjects
PI3K/Akt pathway, Anisodamine, Lidocaine, Myocardial ischemia-reperfusion, Pharmaceutical Science, Pharmacology (medical)
Abstract

Purpose: To study the effects of anisodamine (Ad) combined with lidocaine (Ldc) on myocardial ischemia-reperfusion injury (MIRI) in rats, and its correlation with PI3K/AKT signaling pathway.Methods: A total of 70 healthy rats were randomly divided into S group, M group, Ad group, Ldc group, Ad + Ldc group, Ad + Ldc + LY group, and LY group. The cardiac hemodynamic indices in each group were determined, and the area of myocardial infarction measured. Serum biochemical indices were also determined. Furthermore, the protein expressions of p-Akt, T-Akt, Bcl-2, and Bax in myocardial cells were determined by Western blotting.Results: Compared with those in M group, Ad group, Ldc group, Ad + Ldc + LY group, and LY group, cardiac hemodynamic indices significantly improved, while the area of myocardial infarction was significantly reduced (p < 0.01). Furthermore, serum malondialdehyde (MDA) concentration but the activities of CK, CK-MB, TNF-α, and IL-6 declined, while the activities of superoxide dismutase (SOD), CAT and GSH-Px rose in Ad + Ldc group (p < 0.01). In Ad + Ldc group, p-Akt, T-Akt, and Bcl-2 increased, while Bax significantly decreased. Through comparison LY294002 significantly inhibited the protective effect of Ad combined with Ldc against MIRI in rats (p < 0.01).Conclusion: Anisodamine combination with lidocaine has a protective effect against MIRI in rats via PI3K/Akt signaling pathway, thus indicating that it is a potential therapeutic strategy for the management of myocardial ischemia-reperfusion.

Published
2023

23. Supervised EEG Source Imaging with Graph Regularization in Transformed Domain

Author

Liu, Feng, Qin, Jing, Wang, Shouyi, Rosenberger, Jay, Su, Jianzhong, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Zeng, Yi, editor, He, Yong, editor, Kotaleski, Jeanette Hellgren, editor, Martone, Maryann, editor, Xu, Bo, editor, Peng, Hanchuan, editor, and Luo, Qingming, editor

Published
2017
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24. Supervised Discriminative EEG Brain Source Imaging with Graph Regularization

Author

Liu, Feng, Hosseini, Rahilsadat, Rosenberger, Jay, Wang, Shouyi, Su, Jianzhong, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Descoteaux, Maxime, editor, Maier-Hein, Lena, editor, Franz, Alfred, editor, Jannin, Pierre, editor, Collins, D. Louis, editor, and Duchesne, Simon, editor

Published
2017
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25. A Novel Mutual-Information-Guided Sparse Feature Selection Approach for Epilepsy Diagnosis Using Interictal EEG Signals

Author

Wang, Shouyi, Xiao, Cao, Tsai, Jeffrey J., Chaovalitwongse, Wanpracha, Grabowski, Thomas J., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Ascoli, Giorgio A., editor, Hawrylycz, Michael, editor, Ali, Hesham, editor, Khazanchi, Deepak, editor, and Shi, Yong, editor

Published
2016
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26. Prediction of Seizure Spread Network via Sparse Representations of Overcomplete Dictionaries

Author

Liu, Feng, Xiang, Wei, Wang, Shouyi, Lega, Bradley, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Ascoli, Giorgio A., editor, Hawrylycz, Michael, editor, Ali, Hesham, editor, Khazanchi, Deepak, editor, and Shi, Yong, editor

Published
2016
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27. A Comprehensive Feature and Data Mining Study on Musician Memory Processing Using EEG Signals

Author

Kam, Kin Ming, Schaeffer, James, Wang, Shouyi, Park, Heekyeong, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Ascoli, Giorgio A., editor, Hawrylycz, Michael, editor, Ali, Hesham, editor, Khazanchi, Deepak, editor, and Shi, Yong, editor

Published
2016
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28. Pattern Classification and Analysis of Memory Processing in Depression Using EEG Signals

Author

Puk, Kin Ming, Gandy, Kellen C., Wang, Shouyi, Park, Heekyeong, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Ascoli, Giorgio A., editor, Hawrylycz, Michael, editor, Ali, Hesham, editor, Khazanchi, Deepak, editor, and Shi, Yong, editor

Published
2016
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32. Tropical rain belt expansion and contraction throughout the last millennium driven by Pacific decadal variability

Author

Ummenhofer, Caroline, Denniston, Rhawn, Wang, Shouyi, and Murty, Sujata

Abstract

Recent expansion of the Hadley circulation, Earth’s major atmospheric meridional overturning circulation, is linked to anthropogenic emissions and variability within the climate system. Most studies of this expansion focus on a poleward shift in the Hadley circulation’s dry, descending limb over subtropical arid zones. Instead, we target the tropical rain belt, the latitudinal band spanned by the seasonal migration of the Intertropical Convergence Zone that represents the near-equatorial wet, ascending limb. Here we examine drivers of changes in the width (expansion and contraction) of the Indo-Pacific tropical rain belt since CE 850 by coupling highly resolved stalagmites, tree rings, corals, and marine sediments with state-of-the-art climate model simulations. We identify strong modulation of Indo-Pacific tropical rain belt width by persistent internal variability within the climate system, as seen in characteristic basin-wide changes in ocean temperatures and the atmospheric circulation at multi-decadal time scales associated with the Pacific’s leading mode of decadal variability, the Interdecadal Pacific Oscillation. Our analyses define an envelope of tropical rain belt variability from terrestrial and marine proxies that provides a long-term context to the short, regional instrumental record. These results hold important implications for decadal predictions and climate risk management over societally-relevant time scales., The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

Published
2023

44. Research of fault diagnosis of lubricating oil in coal mining equipment

Author

WANG Shouyi, LI Zhen, ZHU Yijun, and CHEN Sia

Subjects
coal mining equipment, lubricating oil, fault diagnosis, multi-parameter fusion, pattern vector, Mining engineering. Metallurgy, TN1-997
Abstract

In view of problems that traditional lubricating oil analysis method exists long test and analysis period and high cost, and cannot reflect lubricating oil state and running state of coal mining equipment systematically, a multi-parameter fusion diagnosis method was proposed. The method constructs multi-parameter pattern vector of lubricating oil by collecting viscosity, density, dielectric constant and temperature of the lubricating oil used in coal mining equipment, and judges equipment state through analysis on pattern vector of state to be detected and standard pattern vector. It discovers internal correlation and variation law of pollution state parameters of the lubricating oil by comparing with ferrography analysis result of the lubricating oil. The experimental result shows that the method can realize accurate and rapid diagnosis of pollution state of lubricating oil and running state of coal mining equipment.

Published
2014
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48. Creation of a Novel Inflammation-Based Score for Operable Colorectal Cancer Patients

Author

Huang,Qian, Cao,Yinghao, Wang,Shouyi, and Zhu,Rui

Subjects
systemic inflammation, CRC-specific inflammatory index, survival nomogram, colorectal cancer, prognosis, Journal of Inflammation Research, neoplasms, Original Research
Abstract

Qian Huang,1 Yinghao Cao,2 Shouyi Wang,1 Rui Zhu1 1Department of Pediatric, Zhongnan Hospital of Wuhan University, Wuhan, People’s Republic of China; 2Department of Colorectal Surgery and Gastroenterology, Wuhan Union Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, People’s Republic of ChinaCorrespondence: Rui ZhuDepartment of Pediatric, Zhongnan Hospital of Wuhan University, No. 169 Donghu Road, Wuhan 430071, People’s Republic of ChinaEmail zhurui1226@126.comAim: Systemic inflammation has been implicated in the progression of patients with colorectal cancer (CRC). We evaluated the prognostic ability of a comprehensive score based on several inflammatory indexes in operable CRC patients.Patients and Methods: Between July 2013 and September 2017, this study retrospectively identified 1279 CRC patients receiving radical surgery in Wuhan Union Hospital and randomly assigned them into training (N=921) and validation (N=358) sets. A novel score, the CRC-specific inflammatory index (CSII), was developed from a series of inflammatory indexes significantly associated with survival in patients with CRC. This novel score was then divided into three categories and compared to the well-known systematic inflammatory index (SII) and TNM stage. Finally, a survival nomogram was generated by combining the CSII and other informative clinical features.Results: The CSII-OS was calculated as 1.110×lg ALRI + 1.082×CAR + 0.792×PI, while CSII-DFS was 1.709×lg ALRI + 1.033×CAR based on multivariable Cox regression analysis. Patients with high CSII experienced a worse OS (HR=23.72, 95% CI, 11.30– 49.78, P < 0.001) and worse DFS (HR=15.62, 95% CI, 6.95– 35.08, P < 0.001) compared to those in CRC patients with low CSII. Moreover, ROC analyses showed that the CSII possessed excellent performance (AUC=0.859) in predicting OS and DFS. The AUC of the OS nomogram based on CSII, TNM stage, and chemotherapy was 0.897, while that of the DFS nomogram based on CSII, T stage, and TNM stage was 0.873. High-quality calibration curves in both OS and DFS nomograms were observed. Verification in the validation dataset showed results consistent with those in the training dataset.Conclusion: The CSII is a CRC-specific prognostic score based on the combination of available inflammatory indexes. High CSII is a strong predictor of worse survival outcomes. The CSII also exhibits better predictive performance compared to SII or TNM stage in operable CRC patients.Keywords: colorectal cancer, systemic inflammation, prognosis, CRC-specific inflammatory index, survival nomogram

Published
2020

49. Effects of light color and intensity on discrimination of red objects in broilers.

Author

Pan, Chenghao, Wang, Shouyi, He, Pengguang, Hayat, Khawar, Jin, Hao, Bai, Leshang, Hu, Yuchen, and Pan, Jinming

Subjects
*COLOR vision, *LIGHT intensity, *VISUAL discrimination, *LIGHT emitting diodes, *RED
Abstract

Poultry are sensitive to red objects, such as comb and blood on the body surface, likely inducing injurious pecking in flocks. Light is an important factor that affects the pecking behavior of poultry. A wooden box was built to investigate the effects of Light Emitting Diode (LED) light color (warm white and cold white) and intensity (5 and 50 lux) of background light on the discrimination of red objects in broilers. A piece of red photographic paper (Paper 1) was used to simulate a red object and paired with another piece of paper (Paper 2 to 8) with a different color. Bigger number of the paired paper indicated greater color difference. The experiment consisted of three phases: adaptation, training, and test. In the adaptation phase, birds were selected for the adaptation to reduce the stress from the box. In the training phase, birds were trained to discriminate and peck at Paper 1 when paired with Paper 8 under one type of background light. Twenty-three birds were tested when the paired paper was changed from Paper 7 to 2. Each pair of paper included 12 trials for every bird, and response time to peck and proportion of choices of Paper 1 in the last 10 trials were collected. The results showed that broilers tested under 5 lux light had longer response times than broilers tested under 50 lux light (P < 0.05). When Paper 1 was paired with paper 7, broilers tested under warm white light had lower proportion of choices of Paper 1 than those tested under cold white light (P < 0.05). Color difference had a significant effect on response time of broilers (P < 0.05). Moreover, the proportion of choices of Paper 1 decreased to 50% (chance-level performance) when color of the paired paper was gradually similar to Paper 1. Conclusively, rearing broilers in warm white rather than cold white light with appropriate light intensity should be recommended to reduce damaging pecking behavior in broiler production. [ABSTRACT FROM AUTHOR]

Published
2023
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