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2,458 results on '"Wang, Xuewen"'

4. Genome analyses reveal population structure and a purple stigma color gene candidate in finger millet

Author

Devos, Katrien M, Qi, Peng, Bahri, Bochra A, Gimode, Davis M, Jenike, Katharine, Manthi, Samuel J, Lule, Dagnachew, Lux, Thomas, Martinez-Bello, Liliam, Pendergast, Thomas H, Plott, Chris, Saha, Dipnarayan, Sidhu, Gurjot S, Sreedasyam, Avinash, Wang, Xuewen, Wang, Hao, Wright, Hallie, Zhao, Jianxin, Deshpande, Santosh, de Villiers, Santie, Dida, Mathews M, Grimwood, Jane, Jenkins, Jerry, Lovell, John, Mayer, Klaus FX, Mneney, Emmarold E, Ojulong, Henry F, Schatz, Michael C, Schmutz, Jeremy, Song, Bo, Tesfaye, Kassahun, and Odeny, Damaris A

Subjects
Agricultural, Veterinary and Food Sciences, Biological Sciences, Genetics, Humans, Infant, Eleusine, Plant Breeding, Genome, Plant, Phenotype, Africa, Eastern
Abstract

Finger millet is a key food security crop widely grown in eastern Africa, India and Nepal. Long considered a 'poor man's crop', finger millet has regained attention over the past decade for its climate resilience and the nutritional qualities of its grain. To bring finger millet breeding into the 21st century, here we present the assembly and annotation of a chromosome-scale reference genome. We show that this ~1.3 million years old allotetraploid has a high level of homoeologous gene retention and lacks subgenome dominance. Population structure is mainly driven by the differential presence of large wild segments in the pericentromeric regions of several chromosomes. Trait mapping, followed by variant analysis of gene candidates, reveals that loss of purple coloration of anthers and stigma is associated with loss-of-function mutations in the finger millet orthologs of the maize R1/B1 and Arabidopsis GL3/EGL3 anthocyanin regulatory genes. Proanthocyanidin production in seed is not affected by these gene knockouts.

Published
2023

19. A fault warning method for scraper conveyor chain transmission system based on LSTM-Adam

Author

LI Bo, GUO Xingran, LI Juanli, WANG Xuewen, and XIA Rui

Subjects
scraper conveyor, chain transmission system, fault warning, lstm, adam, sliding weighted average method, Mining engineering. Metallurgy, TN1-997
Abstract

The scraper conveyor chain transmission system is prone to frequent faults due to its complex load bearing capacity. However, traditional fault diagnosis requires a large amount of prior knowledge and subjective intervention, which requires high technical personnel. In order to achieve the autonomy, accuracy, and efficiency of fault warning for the scraper conveyor chain transmission system, a fault warning method for the scraper conveyor chain transmission system based on LSTM-Adam is proposed using the powerful data mining capability of deep learning. Firstly, a monitoring system for the working conditions of the scraper conveyor is built based on configuration technology. The system collects real-time operating data of the scraper conveyor, such as the torque and speed of the output shaft of the reducer, the pressure of the middle groove plate, the vibration acceleration in the vertical direction of the scraper, and the strain in the running direction of the scraper chain. The data is cleaned and normalized in min-max to provide data support for fault warning. Secondly, a prediction model is built based on LSTM and trained and optimized using the Adam optimization algorithm to obtain the optimal LSTM Adam prediction model. Finally, the real-time operating data of the scraper conveyor is imported into the LSTM-Adam prediction model to obtain the predicted values of the scraper conveyor operating parameters. The sliding weighted average method is used to calculate the residual between the predicted value and the true value. The maximum residual of the same type of data under normal operating conditions is used as the warning threshold. When the residual exceeds the warning threshold, an early warning is given. The experimental results show that the LSTM-Adam prediction model can accurately predict the trend of strain data of the scraper chain and provide accurate warnings for stuck chain and broken chain faults.

Published
2023
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31. Performance Analysis and Configuration Optimization of a Hexapod Platform with Flexure Hinges

Author

Wang, Xuewen, Yu, Yang, Xu, Zhenbang, Zhang, Yu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yang, Huayong, editor, Liu, Honghai, editor, Zou, Jun, editor, Yin, Zhouping, editor, Liu, Lianqing, editor, Yang, Geng, editor, Ouyang, Xiaoping, editor, and Wang, Zhiyong, editor

Published
2023
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