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143 results on '"Zhang, Yuanye"'

6. Research on IMU/EMG Gesture Recognition Based on Improved CNN

Author

Xu, Dexin, Wang, Hexiang, Zhang, Jianqiang, Zhang, Yuanye, Feng, Di, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Yan, Liang, editor, and Deng, Yimin, editor

Published
2023
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10. Magnetostrictive Tactile Sensor Array for Robotic Grasping

Author

Zhao, Xuan, Wang, Bowen, Gao, Shaoyang, Liu, Shasha, Zhang, Yuanye, Weng, Ling, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, and Deng, Zhidong, editor

Published
2022
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22. Vegetation Types Can Affect Soil Organic Carbon and δ 13 C by Influencing Plant Inputs in Topsoil and Microbial Residue Carbon Composition in Subsoil.

Author

Sun, Yuxin, Wang, Xia, Zhang, Yuanye, Duan, Wenhui, Xia, Jieyi, Wu, Jinhong, and Deng, Tao

Abstract

Plantation is an economical and effective method of ecological restoration, which is also a common means to increase soil organic carbon (SOC) content. However, the effects of vegetation types on SOC accumulation and δ13C distribution during ecological restoration are still not clear. Therefore, we evaluated the soils under four types of restoration measures: plantation (PL, dominated by Olea europaea 'Leccino'), grasslands [GLs, Setaria viridis], croplands [CLs, Zea mays] and shrublands (SLs, Lycium chinense Mill), after 11-year restoration. SOC and the natural stable carbon isotope abundance in four recovery modes were determined, while amino sugars (ASs) and lignin phenols (LPs) were used as biomarkers to identify microbial- and plant-derived carbon, respectively. The results showed that SOC, AS, and LP decreased with the increasing of soil depth, and SOC and LP showed the same trend in topsoil (0–20 cm). ASs in subsoil (40–50 cm) were significantly higher in GLs than that in CLs and the PL, while fungi residue carbon in GLs was significantly higher in subsoil. The δ13C in topsoil was mainly affected by plant factors, especially by litter. With the increasing soil depth, the effect of plants on δ13C decreased, and the effect of microorganisms increased. Vegetation types could affect SOC and δ13C by influencing plant inputs in topsoil. In the subsoil, differences in microbial compositions under different vegetation types could affect δ13C enrichment. The study revealed the effects of vegetation types on SOC accumulation and δ13C distribution during ecological restoration, emphasized that vegetation types can affect SOC accumulation by influencing the plant input of topsoil and the microbial compositions in subsoil, and provided a reference for the development of management policies in restoration areas. [ABSTRACT FROM AUTHOR]

Published
2024
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25. Parental environmental effects are common and strong, but unpredictable, in Arabidopsis thaliana

Author

Latzel, Vit, Fischer, Markus, Groot, M.P., Gutzat, Ruben, Lampei, C., Ouborg, Joop, Vergeer, Philippine, Zhang, Yuanye, Bossdorf, Oliver, Latzel, Vit, Fischer, Markus, Groot, M.P., Gutzat, Ruben, Lampei, C., Ouborg, Joop, Vergeer, Philippine, Zhang, Yuanye, and Bossdorf, Oliver

Abstract

02 januari 2023, Contains fulltext : 286801.pdf (Publisher’s version ) (Closed access)

Published
2023

29. Threats to Terrestrial Plants from Emerging Nanoplastics

Author

Dang, Fei, primary, Wang, Qingyu, additional, Yan, Xiliang, additional, Zhang, Yuanye, additional, Yan, Jiachen, additional, Zhong, Huan, additional, Zhou, Dongmei, additional, Luo, Yongming, additional, Zhu, Yong-Guan, additional, Xing, Baoshan, additional, and Wang, Yujun, additional

Published
2022
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39. Additional file 1 of Fine-tuning Flowering Time via Genome Editing of Upstream Open Reading Frames of Heading Date 2 in Rice

Author

Liu, Xinxin, Liu, Hualong, Zhang, Yuanye, He, Mingliang, Li, Rongtian, Meng, Wei, Wang, Zhenyu, Li, Xiufeng, and Bu, Qingyun

Abstract

Additional file 1: Supplemental Figure 1. Identification of transgenic plants in T0 generation. Supplemental Figure 2. Four heterozygous mutants of hd2 uorf5 to hd2 uorf8 obtained by CRISPR/Cas9 editing. Supplemental Figure 3. qRT-PCR analysis of Hd2 and Ehd1 transcription level in indicated lines and SJ2. Supplemental Figure 4. qRT-PCR analysis of LUC transcription level in rice protoplast system. Supplemental Table 1. Editing efficiency analysis in T1 generation. Supplemental Table 2. Primers used in this study.

Published
2021
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45. Cospeciation is not the dominant driver of plant–pollinator codiversification in specialized pollination systems.

Author

TAENGON, Channongxouang, FENG, Ying, ZHANG, Yuanye, ALUTHWATTHA, Sasith Tharanga, CHEN, Jin, and WANG, Gang

Subjects
*POLLINATION, *POLLINATORS, *ANGIOSPERMS, *MUTUALISM
Abstract

This study systematically rejects the long‐standing notion of cospeciation as the dominant driver of codiversification between flowering plants and their specialist pollinators. Through cophylogenetic analysis of six classical specialized pollination systems, the research finds that cospeciation events are consistently outnumbered by non‐cospeciation events, such as host‐switch, duplication, and association losses. The findings support a more dynamic and diffuse codiversification paradigm, highlighting the importance of considering a broader range of evolutionary events in understanding plant–pollinator codiversification. This new understanding is robust across diverse pollination systems and has significant implications for conservation strategies in the face of environmental change. [ABSTRACT FROM AUTHOR]

Published
2024
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46. Epigenetic variation in plant responses to defence hormones

Author

Latzel, Vít, Zhang, Yuanye, Karlsson Moritz, Kim, Fischer, Markus, Bossdorf, Oliver, Latzel, Vít, Zhang, Yuanye, Karlsson Moritz, Kim, Fischer, Markus, and Bossdorf, Oliver

Abstract

Background and Aims There is currently much speculation about the role of epigenetic variation as a determinant of heritable variation in ecologically important plant traits. However, we still know very little about the phenotypic consequences of epigenetic variation, in particular with regard to more complex traits related to biotic interactions. Methods Here, a test was carried out to determine whether variation in DNA methylation alone can cause heritable variation in plant growth responses to jasmonic acid and salicylic acid, two key hormones involved in induction of plant defences against herbivores and pathogens. In order to be able to ascribe phenotypic differences to epigenetic variation, the hormone responses were studied of epigenetic recombinant inbred lines (epiRILs) of Arabidopsis thaliana - lines that are highly variable at the level of DNA methylation but nearly identical at the level of DNA sequence. Key Results Significant heritable variation was found among epiRILs both in the means of phenotypic traits, including growth rate, and in the degree to which these responded to treatment with jasmonic acid and salicylic acid. Moreover, there was a positive epigenetic correlation between the responses of different epiRILs to the two hormones, suggesting that plant responses to herbivore and pathogen attack may have a similar molecular epigenetic basis. Conclusions This study demonstrates that epigenetic variation alone can cause heritable variation in, and thus potentially microevolution of, plant responses to defence hormones. This suggests that part of the variation of plant defences observed in natural populations may be due to underlying epigenetic, rather than entirely genetic, variation

Published
2017

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