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128 results on '"Wei, Jilin"'

1. The Super-large Ensemble Experiments of CAS FGOALS-g3

Author

Lin, Pengfei, Zhao, Bowen, Wei, Jilin, Liu, Hailong, Zhang, Wenxia, Chen, Xiaolong, Jiang, Jie, Ding, Mengrong, Man, Wenmin, Jiang, Jinrong, Zhang, Xu, Ding, Yuewen, Bai, Wenrong, Jin, Chenyang, Yu, Zipeng, Li, Yiwen, Zheng, Weipeng, and Zhou, Tianjun

Published
2022
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15. Image Enhancement of X-Ray Film Base on Mutil-Scale Retinex

Author

Wang, Zhishe, Wei, Jilin, 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, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Deng, Hepu, editor, Miao, Duoqian, editor, Lei, Jingsheng, editor, and Wang, Fu Lee, editor

Published
2011
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19. Development and external validation of a prediction model for the premature circuit clotting of continuous renal replacement therapy in critically ill patients.

Author

Yang, Erming, Wang, Qiaohong, Guo, Jing, Wei, Jilin, Zhang, Chiyu, Zhao, Wenfang, He, Xingyue, Bo, Enhui, Mao, Ya, and Yang, Hui

Abstract

This study aimed to develop and validate a prediction model for premature circuit clotting of continuous renal replacement therapy (CRRT) in critically ill patients. A retrospective cohort study was conducted on ICU patients undergoing CRRT. The Medical Information Mart for Intensive Care-III Clinical Database CareVue subset and Medical Information Mart for Intensive Care-IV were utilized for model development, while the eICU Collaborative Research Database was employed for external validation. Predictive factors were selected through Least Absolute Shrinkage and Selection Operator Regression and univariate logistic regression. A prediction model was then developed using binary logistic regression. Internal and external validations assessed the model's discrimination, calibration, and clinical net benefit. This study encompassed 2531 patients overall, with a premature circuit clotting rate of 31.88 %. The prediction model comprises five variables: body temperature, anticoagulation, mean arterial pressure, maximum transmembrane pressure change within two hours, and vasopressor. The model demonstrated robust predictive performance, achieving an area under the receiver operating characteristic curve of 0.897 (95 % CI: 0.879–0.915) in the training set and 0.877 (95 % CI: 0.852–0.902) in the external validation set. Internal validation yielded a Brier score of 0.087, while external validation showed a Brier score of 0.120. Calibration curves indicated good model calibration for both validations. The decision curve analysis indicates that the model yields a clinical net benefit across a wide range of decision thresholds. The model demonstrates robust discrimination, calibration, and clinical net benefit, with readily available variables indicating substantial potential for valuable clinical applications. Healthcare providers in the ICU can leverage the model to evaluate the risk of premature circuit clotting in critically ill patients undergoing continuous renal replacement therapy, facilitating timely intervention to mitigate its incidence. [ABSTRACT FROM AUTHOR]

Published
2024
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21. The Flexible Global Ocean‐Atmosphere‐Land System Model Grid‐Point Version 3 (FGOALS‐g3): Description and Evaluation

Author

Li, Lijuan, primary, Yu, Yongqiang, additional, Tang, Yanli, additional, Lin, Pengfei, additional, Xie, Jinbo, additional, Song, Mirong, additional, Dong, Li, additional, Zhou, Tianjun, additional, Liu, Li, additional, Wang, Lu, additional, Pu, Ye, additional, Chen, Xiaolong, additional, Chen, Lin, additional, Xie, Zhenghui, additional, Liu, Hongbo, additional, Zhang, Lixia, additional, Huang, Xin, additional, Feng, Tao, additional, Zheng, Weipeng, additional, Xia, Kun, additional, Liu, Hailong, additional, Liu, Jiping, additional, Wang, Yan, additional, Wang, Longhuan, additional, Jia, Binghao, additional, Xie, Feng, additional, Wang, Bin, additional, Zhao, Shuwen, additional, Yu, Zipeng, additional, Zhao, Bowen, additional, and Wei, Jilin, additional

Published
2020
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33. Quantum state-to-state study for (H−(D−),HD) collisions on two potential energy surfaces.

Author

He, Xiaohu, Li, Wenliang, Meng, Huiyan, Li, Chuanliang, Guo, Guqing, Qiu, Xuanbing, and Wei, Jilin

Abstract

Quantum time-dependent wave-packet calculations have been carried out to explore the state-to-state dynamics of the ion–molecule (H−(D−),HD) collisions on two accurate ab initio potential energy surfaces in the collision energy range 0.2–1.2 eV. Total and final state-resolved integral and differential cross sections are elaborated in detail. The differential cross sections vary substantially with the collision energy, turning from predominantly backward-scattering at low collision energies to forward and sideways scattering bias at relatively high collision energies. The rebound, stripping and time-delayed mechanisms are found to be possible in (H−(D−),HD) collisions. A set of quasi-classical trajectory calculations were performed, and the results indicate that the backward-scattering peak is caused by the low impact parameter trajectories, while the trajectories of high impact parameter are responsible for the forward scattering. A set of representative state-to-state differential cross sections at collision energies 0.6 and 1.2 eV are also presented. Different reaction mechanisms are dominant in (H−(D−),HD) collisions at different collision energies, resulting in different product rovibrational state distributions. The differences between the dynamics results based on the two potential energy surfaces are also discussed. [ABSTRACT FROM AUTHOR]

Published
2019
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40. Research on the Choice of Patent Strategy in Chinese Enterprises' Independent Innovation Process

Author

Wei Jilin, Zhou Yi, and Liu Jieming

Subjects
ComputingMilieux_GENERAL, Process (engineering), Product innovation, Innovation management, Innovation process, Patent strategy, Business, Industrial organization, Meaning (linguistics)
Abstract

This article studies the choice of patent strategy along with the process of independent innovation in Chinese enterprises. Starting with the introduction of the background of independent innovation, it analyzes its meaning for Chinese enterprises, establishes a four-phase process model for it, and then discusses the particularity of independent innovation process for Chinese enterprises. Meanwhile, with a summary of the concept and content of enterprise patent strategy, this article works on the significance of independent innovation for enterprise patent strategy, and as well proposes choice principles and candidate matrix in this process of independent innovation.

Published
2007

50. N 2 O generation and emission from two biological nitrogen removal plants in China.

Author

Li, Huijuan, Peng, Dangcong, Liu, Wenbo, Wei, Jilin, Wang, Zhengfu, and Wang, Binfan

Subjects
NITROGEN removal (Sewage purification), OXIDATION of ammonia, NITROUS oxide & the environment, SEWAGE aeration, SEWAGE disposal plants, WASTE management
Abstract

Nitrous oxide (N2O) generation and emission from No. 3 wastewater treatment plant (WWTP) in Xi’an (Orbal oxidation ditch) and No. 4 WWTP in Xi’an (reversed A/A/O) were measured throughout a year following the water environment research foundation protocol. The N2O generation and emission rates of No. 4 WWTP (generation rate of 14.43 kg (N2O)/d and emission rate of 13.78 kg (N2O)/d) were about twice that of No. 3 WWTP (generation rate of 7.09 kg (N2O)/d and emission rate of 6.52 kg (N2O)/d). The N2O emission factor of No. 4 WWTP (54.64 mg (N2O)/m3INF) was about 1.7 times that of No. 3 WWTP (36.20 mg (N2O)/m3INF). The ammonia oxidation rate, nitrite oxidation rate, and nitrous oxide generation rate were also measured. Results showed that the key factors of N2O generation and emission were the microbial population and aeration strategy. [ABSTRACT FROM PUBLISHER]

Published
2016
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