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Ding Guo

As seen in: Nature, MDPI, Royal Society of Chemistry, Dove Medical Press
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Articles by Ding Guo

Global hotspots of particulate organic carbon losses under climate change

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By Siyi Sun, M. Francesca Cotrufo, Carsten Mueller, Morimaru Kida, Ailsa G. Hardie, Alec D. Mackay, Alexander H. Krichels, Wulf Amelung, Amit Kumar, Azamat Suleymanov, César Plaza, César Terrer, Chang Wei Liang, Chang Liao, Christopher Just, Ding Guo, Emanuele Lugato, Enqing Hou, Fan Ding, Fazhu Zhao, Feng Tao, Fernando Maestre, Franco Bilotto, Fuzhong Wu, Gisela García, Gongwen Luo, Guangxuan Han, Guillermo Hernandez-Ramirez, Gervasio Piñeiro, Haikuo Zhang, Haodi Xu, Inma Lebron, Irina Kurganova, Jennifer Blesh, Jeppe A. Kristensen, Ji Liu, Jiacong Zhou, Jianping Wu, Jitendra Ahirwal, Junji Cao, Jørgen Olesen, Karin Kauer, Katerina Georgiou, Kristof Van Oost, Kwame Frimpong, Lei Deng, Liane G. Benning, Liang Guo, Manuel Delgado-Baquerizo, Mehdi Rahmati, Min Luo, Olga Kalinina, Olli Hyvarinen, Pablo García-Palacios, Paige Hansen, Pengpeng Duan, Peter M. Homyak, Rajan Ghimire, Renaldas Žydelis, Roland Bol, Ruiying Chang, Ruyi Luo, Sebastian Horacio Villarino, Shuai Xue, Shuli Niu, Shuotong Chen, Tengfei Yu, Steven Hall, Thomas Kätterer, Tida Ge, Weixing Liu, Weiyu Shi, Wei Zhang, Wolfgang Wanek, Xiangrong Cheng, Xiankai Lu, Xiaojun Shi, Xiaoli Cheng, Xiaorong Wei, Xiaotong Liu, Xuhui Zhou, Yangquanwei Zhong, Yanjiang Cai, Yiqi Luo, Yixuan Zhang, Yunting Fang, Yuting Liang, Yuyi Li, Zengming Chen, Zhanfeng Liu, Zhaoliang Song, Zhongkui Luo, Zhisheng An, Ji Chen, R. A. Viscarra Rossel, Baoku Shi, Bernard Jackson Cosby, Guillermo A. Studdert, Guoxiang Niu, Gustavo Saiz, Hamada Abdelrahman, Kees Jan van Groenigen, Lizzie Mujuru, Maoz Dor, Patra Rounak, Pengzhi Zhao, Ronaldo Vibart, Vusumuzi Erick Mbanjwa, Vyacheslav M. Semenov, Yahya Kooch, Yunbin Qin
| Nature Verified
Abstract Soil organic carbon (SOC) comprises particulate (POC) and mineral-associated organic carbon (MAOC), which differ in formation, stabilization, and loss mechanisms. While the current global distribution of POC and MAOC is characterized, their vulnerability under future climate scenarios remains unclear.
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METTL3-mediated m6A Modification of GDF11 promotes dental extraction t

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By Ding Guo, Bin Zhang
| Dove Medical Press
Introduction Socket healing in diabetes is complex and often delayed, leading to prolonged pain, infection, and impaired oral function.1,2 The International Diabetes Federation reports that 537 million adults lived with diabetes in 2021, and this number is projected to exceed 780 million by 2045.3 Despite rigorous glycaemic control, diabetic patients still exhibit compromised post-extraction repair, underscoring a critical unmet clinical need.
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Materials | Free Full-Text | How Often Should Microbial Contamination Be Detected in Aircraft Fuel Systems? An Experimental Test of Aluminum Alloy Corrosion Induced by Sulfate-Reducing Bacteria

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By Bochao Lu, Yimeng Zhang, Ding Guo, Ruiyong Zhang
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Dissolution Mechanism of Fe3O4 Scale by 1-Hydroxyethane-1,1-Diphosphonic Acid: an Ab Initio Molecular Metadynamics Study

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By Xiaoyang Zhao, Ding Guo, Xin Xiao, Guo Jin
| Royal Society of Chemistry Verified
Dissolution Mechanism of Fe3O4 Scale by 1-Hydroxyethane-1,1-Diphosphonic Acid: an Ab Initio Molecular Metadynamics Study Using the ab initio molecular metadynamics method, the structure of 1-hydroxyethane-1,1-diphosphonic acid (HEDP) adsorbed on the Fe3O4 surface and subsequent detachment of Fe atoms from the surface were simulated, and the mechanism that HEDP dissolves the Fe3O4 scale at room temperature scale while other organic acids cannot was elucidated.
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An Experimental Setup to Detect the Crack Fault of Asymmetric Rotors Based on a Deep Learning Method

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By Chongyu Wang, Zhaoli Zheng, Tianyuan Liu, Ding Guo
| MDPI
Abstract : Crack is a common fault of rotor systems. The research on crack fault detection methods is mainly divided into numerical and experimental studies. In numerical research, the current fault detection algorithms based on deep learning are mostly applied to bearings and gearboxes, and there are few studies on rotor fault diagnosis. In experimental research, the rotors used in an experiment are mostly single-span rotors.
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