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1,158 results on '"Liu, Yanbin"'

151. Abstract 5346: Discovery of new targeted protein degraders using DNA-encoded chemistry

Author

Keefe, Anthony D., primary, Disch, Jeremy S., additional, Duffy, Jennifer, additional, Lee, Esther C., additional, Gikunju, Diana, additional, Chan, Betty, additional, Levin, Benjamin D., additional, Monteiro, Michael I., additional, Talcott, Sarah A., additional, Lau, Anthony, additional, Zhou, Fei, additional, Kozhushnyan, Anton, additional, Westlund, Neil E., additional, Mullins, Patrick B., additional, Yu, Yan, additional, von Rechenberg, Moritz, additional, Zhang, Junyi, additional, Arnautova, Yelena, additional, Liu, Yanbin, additional, Zhang, Ying, additional, McRiner, Andrew J., additional, Kohlmann, Anna, additional, Clark, Matthew A., additional, Cuozzo, John W., additional, Huguet, Christelle, additional, and Arora, Shilpi, additional

Published
2023
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153. Supplementary Table 2 from Combination Therapy with Vidaza and Entinostat Suppresses Tumor Growth and Reprograms the Epigenome in an Orthotopic Lung Cancer Model

Author

Belinsky, Steven A., primary, Grimes, Marcie J., primary, Picchi, Maria A., primary, Mitchell, Hugh D., primary, Stidley, Chris A., primary, Tesfaigzi, Yohannes, primary, Channell, Meghan M., primary, Liu, Yanbin, primary, Casero, Robert A., primary, Baylin, Stephen B., primary, Reed, Mathew D., primary, Tellez, Carmen S., primary, and March, Thomas H., primary

Published
2023
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154. Supplementary Table 1 from Combination Therapy with Vidaza and Entinostat Suppresses Tumor Growth and Reprograms the Epigenome in an Orthotopic Lung Cancer Model

Author

Belinsky, Steven A., primary, Grimes, Marcie J., primary, Picchi, Maria A., primary, Mitchell, Hugh D., primary, Stidley, Chris A., primary, Tesfaigzi, Yohannes, primary, Channell, Meghan M., primary, Liu, Yanbin, primary, Casero, Robert A., primary, Baylin, Stephen B., primary, Reed, Mathew D., primary, Tellez, Carmen S., primary, and March, Thomas H., primary

Published
2023
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155. Supplementary Legend from Combination Therapy with Vidaza and Entinostat Suppresses Tumor Growth and Reprograms the Epigenome in an Orthotopic Lung Cancer Model

Author

Belinsky, Steven A., primary, Grimes, Marcie J., primary, Picchi, Maria A., primary, Mitchell, Hugh D., primary, Stidley, Chris A., primary, Tesfaigzi, Yohannes, primary, Channell, Meghan M., primary, Liu, Yanbin, primary, Casero, Robert A., primary, Baylin, Stephen B., primary, Reed, Mathew D., primary, Tellez, Carmen S., primary, and March, Thomas H., primary

Published
2023
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156. Data from Combination Therapy with Vidaza and Entinostat Suppresses Tumor Growth and Reprograms the Epigenome in an Orthotopic Lung Cancer Model

Author

Belinsky, Steven A., primary, Grimes, Marcie J., primary, Picchi, Maria A., primary, Mitchell, Hugh D., primary, Stidley, Chris A., primary, Tesfaigzi, Yohannes, primary, Channell, Meghan M., primary, Liu, Yanbin, primary, Casero, Robert A., primary, Baylin, Stephen B., primary, Reed, Mathew D., primary, Tellez, Carmen S., primary, and March, Thomas H., primary

Published
2023
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157. Supplementary Figure from Combination Therapy with Vidaza and Entinostat Suppresses Tumor Growth and Reprograms the Epigenome in an Orthotopic Lung Cancer Model

Author

Belinsky, Steven A., primary, Grimes, Marcie J., primary, Picchi, Maria A., primary, Mitchell, Hugh D., primary, Stidley, Chris A., primary, Tesfaigzi, Yohannes, primary, Channell, Meghan M., primary, Liu, Yanbin, primary, Casero, Robert A., primary, Baylin, Stephen B., primary, Reed, Mathew D., primary, Tellez, Carmen S., primary, and March, Thomas H., primary

Published
2023
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166. Allele-aware chromosome-level genome assembly and efficient transgene-free genome editing for the autotetraploid cultivated alfalfa

Author

Chen, Haitao, Zeng, Yan, Yang, Yongzhi, Huang, Lingli, Tang, Bolin, Zhang, He, Hao, Fei, Liu, Wei, Li, Youhan, Liu, Yanbin, Zhang, Xiaoshuang, Zhang, Ru, Zhang, Yesheng, Li, Yongxin, Wang, Kun, He, Hua, Wang, Zhongkai, Fan, Guangyi, Yang, Hui, Bao, Aike, Shang, Zhanhuan, Chen, Jianghua, Wang, Wen, and Qiu, Qiang

Published
2020
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169. Noninvasive diagnosis of oral squamous cell carcinoma by multi‐level deep residual learning on optical coherence tomography images.

Author

Yuan, Wei, Yang, Jinsuo, Yin, Boya, Fan, Xingyu, Yang, Jing, Sun, Haibin, Liu, Yanbin, Su, Ming, Li, Sen, and Huang, Xin

Subjects
DEEP learning, MOUTH tumors, EARLY detection of cancer, ARTIFICIAL intelligence, OPTICAL coherence tomography, DESCRIPTIVE statistics, RESEARCH funding, SQUAMOUS cell carcinoma
Abstract

Background: Oral Squamous Cell Carcinoma (OSCC) is one of the most severe cancers in the world, and its early detection is crucial for saving patients. There is an inevitable necessity to develop the automatic noninvasive OSCC diagnosis approach to identify the malignant tissues on Optical Coherence Tomography (OCT) images. Methods: This study presents a novel Multi‐Level Deep Residual Learning (MDRL) network to identify malignant and benign(normal) tissues from OCT images and trains the network in 460 OCT images captured from 37 patients. The diagnostic performances are compared with different methods in the image‐level and the resected patch‐level. Results: The MDRL system achieves the excellent diagnostic performance, with 91.2% sensitivity, 83.6% specificity, 87.5% accuracy, 85.3% PPV, and 90.2% NPV in image‐level, with 0.92 AUC value. Besides, it also implements 100% sensitivity, 86.7% specificity, 93.1% accuracy, 87.5% PPV, and 100% NPV in the resected patch‐level. Conclusion: The developed deep learning system expresses superior performance in noninvasive oral squamous cell carcinoma diagnosis, compared with traditional CNNs and a specialist. [ABSTRACT FROM AUTHOR]

Published
2023
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173. De Novo Assembly of an Allotetraploid Artemisia argyi Genome

Author

Mei, Qiming, primary, Li, Hanxiang, additional, Liu, Yanbin, additional, Wu, Feng, additional, Liu, Chuang, additional, Wang, Keya, additional, Liu, Hongjun, additional, Peng, Cheng, additional, Wang, Zhengfeng, additional, Wang, Long, additional, Liu, Zhanfeng, additional, Yan, Junhua, additional, and Zhang, Wei, additional

Published
2023
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182. An Adaptive Enhancement Algorithm of Materials Bag Image of Industrial Scene

Author

Jia, Wei, Wang, Ya, Liu, Yanbin, Fan, Lilue, Ruan, Qingqiang, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, 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, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, Series editor, Tanaka, Yuzuru, Series editor, Wahlster, Wolfgang, Series editor, Siekmann, Jörg, Series editor, Zhang, Xianmin, editor, Liu, Honghai, editor, Chen, Zhong, editor, and Wang, Nianfeng, editor

Published
2014
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183. Bidirectional Spatial-Temporal Adaptive Transformer for Urban Traffic Flow Forecasting

Author

Chen, Changlu, Liu, Yanbin, Chen, Ling, and Zhang, Chengqi

Abstract

Urban traffic forecasting is the cornerstone of the intelligent transportation system (ITS). Existing methods focus on spatial-temporal dependency modeling, while two intrinsic properties of the traffic forecasting problem are overlooked. First, the complexity of diverse forecasting tasks is nonuniformly distributed across various spaces (e.g., suburb versus downtown) and times (e.g., rush hour versus off-peak). Second, the recollection of past traffic conditions is beneficial to the prediction of future traffic conditions. Based on these properties, we propose a bidirectional spatial-temporal adaptive transformer (Bi-STAT) for accurate traffic forecasting. Bi-STAT adopts an encoder–decoder architecture, where both the encoder and the decoder maintain a spatial-adaptive transformer and a temporal-adaptive transformer structure. Inspired by the first property, each transformer is designed to dynamically process the traffic streams according to their task complexities. Specifically, we realize this by the recurrent mechanism with a novel dynamic halting module (DHM). Each transformer performs iterative computation with shared parameters until DHM emits a stopping signal. Motivated by the second property, Bi-STAT utilizes one decoder to perform the present $\rightarrow $ past recollection task and the other decoder to perform the present $\rightarrow $ future prediction task. The recollection task supplies complementary information to assist and regularize the prediction task for a better generalization. Through extensive experiments, we show the effectiveness of each module in Bi-STAT and demonstrate the superiority of Bi-STAT over the state-of-the-art baselines on four benchmark datasets. The code is available at https://github.com/chenchl19941118/Bi-STAT.git.

Published
2023
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185. Plasma Agricultural Nitrogen Fixation Using Clean Energies: New Attempt of Promoting PV Absorption in Rural Areas.

Author

Zheng, Qiyu, Li, Liying, Xue, Zhihua, Liu, Yanbin, Zang, Dehua, Wang, Zifeng, Qu, Haowei, Yin, Jiaxuan, and Wang, Lidi

Subjects
NITROGEN fixation, NITROGEN plasmas, CLEAN energy, RURAL geography, HABER-Bosch process, BUILDING-integrated photovoltaic systems
Abstract

In recent years, a large number of countries have connected and distributed photovoltaics in remote rural areas, aiming to promote the use of clean energy in rural areas. The solar energy that is not used in time needs to be discarded, resulting in a large amount of wasted energy. Rural areas are closely related to agricultural production, and solar energy can be used for agricultural nitrogen fixation to supplement the nitrogen needed by crops and effectively use the upcoming waste of solar energy. A photovoltaic-driven plasma reactor for nitrogen fixation in agriculture was designed in this study. The air inlet and outlet holes are arranged above and below the reactor to facilitate air entry and directly interact with the gliding arc generated at the bottom of the electrode to achieve atmospheric nitrogen fixation in agriculture. The characteristics of gliding arc development in the process of nitrogen fixation in agriculture were studied experimentally. There are two discharge modes of the gliding arc discharge: one is steady arc gliding mode (A-G Mode), and the other is breakdown gliding mode (B-G Mode). By collecting discharge signals, different discharge modes of gliding arc discharge were analyzed, and the effect of the air flow rate on the discharge period and discharge mode ratio distribution is discussed. The effects of the air flow rate on the yield, specific energy input, and energy consumption in plasma agriculture were studied. The experimental results show that with an increase in the air flow rate, the B-G mode takes up a larger proportion and the gliding arc discharge period is shortened. However, the higher the proportion of the B-G mode, the more unfavorable the production of nitrogen oxides. Although the nitrogen oxides generated by the system are not particularly excellent compared with the Haber-Bosch ammonia process (H-B process), the access to distributed photovoltaic roofs in rural and remote areas can effectively use available resources like water, air, and solar, and avoid energy waste in areas where wind and solar are abandoned. [ABSTRACT FROM AUTHOR]

Published
2023
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198. Dual-Wavelength Continuous Wave Photoacoustic Doppler Flow Measurement

Author

Fang Hui, Liu Yanbin, Tayyab Farooq, and Hongcai Zhao

Subjects
Materials science, business.industry, 02 engineering and technology, 021001 nanoscience & nanotechnology, Laser, 01 natural sciences, Atomic and Molecular Physics, and Optics, Flow measurement, Spectral line, Electronic, Optical and Magnetic Materials, law.invention, 010309 optics, symbols.namesake, Wavelength, Optics, Flow (mathematics), Flow velocity, law, 0103 physical sciences, symbols, Continuous wave, 0210 nano-technology, business, Doppler effect
Abstract

Photoacoustic Doppler flow measurement based on continuous wave laser excitation owns the merit of clearly presenting the Doppler power spectra. Extending this technique to dual wavelengths can gain the spectral information of the flow sample extra to the flow speed information. An experimental system with two laser diodes respectively operated at 405 nm and 660 nm wavelengths is built and the flow measurement with black and red dyed polystyrene beads is performed. The measured Doppler power spectra can vividly reflect the flow speed, the flow direction, as well as the bead color. Since it is straightforward to further apply the same principle to multiple wavelengths, we can expect this type of spectroscopic photoacoustic Doppler flow measurement will be developed in the near future which will be very useful for studying the metabolism of the slowly moving red blood cell inside microvessels.

Published
2021

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