Zhen Li

Nanjing Agricultural University

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Shuijin Hu

North Carolina State University

Mu Su

Nanjing Agricultural University

Da Tian

Ministry of Natural Resources

Jianmin Zhou

Beijing Institute of Big Data Research

Lingyi Tang

Nanjing Agricultural University

Bangsen Tian

Chinese Academy of Sciences

Shimei Wang

Anhui Academy of Agricultural Sciences

Lei Huang

Chinese Academy of Sciences

Quan Chen

Chinese Academy of Sciences

Tongshuo Bai

Nanjing Agricultural University

Cooperative Institutions

Chinese Academy of Sciences

173

Nanjing Agricultural University

119

University of Chinese Academy of Sciences

Ministry of Agriculture and Rural Affairs

Zhejiang University

China Agricultural University

South China Agricultural University

Nanjing University

Institute of Tibetan Plateau Research

Lanzhou University

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Pollen-based mapping of Holocene vegetation on the Qinghai-Tibetan Plateau in response to climate change

Palaeogeography Palaeoclimatology Palaeoecology (2021)

Zhen Li Yongbo Wang Ulrike Herzschuh Xianyong Cao Jian Ni

East Asian Monsoon

10.1016/j.palaeo.2021.110412

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Citations (16)

A study of organic acid production in contrasts between two phosphate solubilizing fungi: Penicillium oxalicum and Aspergillus niger

Scientific Reports (2016)

Zhen Li Tongshuo Bai Letian Dai Fuwei Wang Jinjin Tao

Abstract Phosphate solubilizing fungi (PSF) have huge potentials in enhancing release of phosphorus from fertilizer. Two PSF (NJDL-03 and NJDL-12) were isolated and identified as Penicillium oxalicum and Aspergillus niger respectively in this study. The quantification and identification of organic acids were performed by HPLC. Total concentrations of organic acids secreted by NJDL-03 and NJDL-12 are ~4000 and ~10,000 mg/L with pH values of 3.6 and 2.4 respectively after five-days culture. Oxalic acid dominates acidity in the medium due to its high concentration and high acidity constant. The two fungi were also cultured for five days with the initial pH values of the medium varied from 6.5 to 1.5. The biomass reached the maximum when the initial pH values are 4.5 for NJDL-03 and 2.5 for NJDL-12. The organic acids for NJDL-12 reach the maximum at the initial pH = 5.5. However, the acids by NJDL-03 continue to decrease and proliferation of the fungus terminates at pH = 2.5. The citric acid production increases significantly for NJDL-12 at acidic environment, whereas formic and oxalic acids decrease sharply for both two fungi. This study shows that NJDL-12 has higher ability in acid production and has stronger adaptability to acidic environment than NJDL-03.

Oxalic Acid

Aspergillus niger

Organic acid

10.1038/srep25313

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Citations (173)

UV aging may enhance adsorption capacity of Poly (butylene adipate-co-terephthalate) (PBAT) to heavy metals and toxicity to zebrafish

Aquatic Toxicology (2024)

Xing Cheng Yipeng Hou Xubing Lin Chudan Wang Baozhen Shen

Adipate

10.1016/j.aquatox.2024.106938

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Citations (3)

Implementation of Intelligent Algorithm in Mathematical Modeling Teaching

Lecture notes in electrical engineering (2022)

Zhen Li

Mathematical problem

Mathematical Theory

10.1007/978-981-19-4132-0_83

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Citations (0)

Iron-calcium reinforced solidification of arsenic alkali residue in geopolymer composite: Wide pH stabilization and its mechanism

Chemosphere (2022)

Yingfei Sun Pan Zhang Zhen Li Jing Chen Ke Yan

10.1016/j.chemosphere.2022.137063

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Citations (19)

Fungal-induced fossil biomineralization

Current Biology (2023)

Mao Luo Zhen Li Mu Su Geoffrey Michael Gadd Zongjun Yin

Fossil Record

10.1016/j.cub.2023.04.067

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Citations (3)

A Multifaceted Approach to Advance Oil Spill Modeling and Physical Oceanographic Research at the United States Bureau of Ocean Energy Management

Journal of Marine Science and Engineering (2021)

Zhen Li Caryn Smith Christopher M. DuFore Susan Zaleski Guillermo Auad

The Environmental Studies Program (ESP) at the United States Bureau of Ocean Energy Management (BOEM) is funded by the United States Congress to support BOEM’s mission, which is to use the best available science to responsibly manage the development of the Nation’s offshore energy and mineral resources. Since its inception in 1973, the ESP has funded over $1 billion of multidisciplinary research across four main regions of the United States Outer Continental Shelf: Gulf of Mexico, Atlantic, Alaska, and Pacific. Understanding the dynamics of oil spills and their potential effects on the environment has been one of the primary goals of BOEM’s funding efforts. To this end, BOEM’s ESP continues to support research that improves oil spill modeling by advancing our understanding and the application of meteorological and oceanographic processes to improve oil spill modeling. Following the Deepwater Horizon oil spill in 2010, BOEM has invested approximately $28 million on relevant projects resulting in 73 peer-reviewed journal articles and 42 technical reports. This study describes the findings of these projects, along with the lessons learned and research information needs identified. Additionally, this paper presents a path forward for BOEM’s oil spill modeling and physical oceanographic research.

Marine energy

Deepwater Horizon

10.3390/jmse9050542

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Biochar loaded with ferrihydrite and Bacillus pseudomycoides enhances remediation of co-existed Cd(II) and As(III) in solution

Bioresource Technology (2024)

Rui Cao Guodong Kang Weiwen Zhang Jihai Zhou Wangliang Xie

Ferrihydrite

10.1016/j.biortech.2024.130323

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Citations (4)

Spatio-temporal changes of snow phenology in the Qinghai-Tibetan Plateau during the hydrological year of 1980-2009

Advances in Climate Change Research (2018)

Dejing Qiao Nianqin Wang Zhen Li Jianmin Zhou Xi-You Fu

10.12006/j.issn.1673-1719.2017.088

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Citations (4)

Implementation of Intelligent Algorithm in Mathematical Modeling Teaching

Zhen Li

Mathematical modeling is to refine the actual problems in the real world, abstract them into a mathematical model, find the solution of the model, verify the rationality of the model, and use the solution provided by the mathematical model to explain the real problems. This paper first introduces the common intelligent algorithms and expounds the classification of solving categories, and then explores the implementation of intelligent algorithms in mathematical modeling teaching from four aspects: the existing situation, the proposal of mathematical modeling teaching mode, the implementation methods and implementation results of intelligent algorithms in mathematical modeling teaching.

Mathematical problem

Mathematical Theory

10.1007/978-3-031-23944-1_2

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