Yuanchun Zhou

ORCID: 0000-0001-6646-9352
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About
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Research Areas
  • Water-Energy-Food Nexus Studies
  • Energy and Environment Impacts
  • Water resources management and optimization
  • Energy, Environment, Economic Growth
  • Environmental Impact and Sustainability
  • Hybrid Renewable Energy Systems
  • Land Use and Ecosystem Services
  • Food Waste Reduction and Sustainability
  • Scientific Computing and Data Management
  • Medical Research and Treatments
  • Air Quality and Health Impacts
  • Environmental Education and Sustainability
  • China's Socioeconomic Reforms and Governance
  • Municipal Solid Waste Management
  • Environmental and Social Impact Assessments
  • Water Quality and Pollution Assessment
  • Wastewater Treatment and Reuse
  • Intellectual Property and Patents
  • Education and Work Dynamics
  • Single-cell and spatial transcriptomics
  • Genomics and Phylogenetic Studies
  • Water Resources and Management
  • Innovation and Socioeconomic Development
  • Regional Economic and Spatial Analysis
  • Environmental Conservation and Management

Nanjing University of Finance and Economics
2018-2023

Computer Network Information Center
2011-2023

Chinese Medical Association
2020

State Key Laboratory of Pollution Control and Resource Reuse
2012-2019

Nanjing University
2012-2019

Government of Jiangsu Province
2016-2018

Chinese Academy of Sciences
2011-2014

Renmin University of China
2012

Data Assurance and Communication Security
2010

Guangdong Polytechnic Normal University
2008

10.1016/j.jenvman.2019.109602 article EN Journal of Environmental Management 2019-10-17

Water and energy are two essential resources of modern civilization inherently linked. Indeed, the optimization water supply system would reduce demands greenhouse gas emissions in municipal sector. This research measured climatic cobenefit conservation based on a flow analysis. The results showed that estimated consumption total Changzhou, China, reached approximately 10% city's consumption, whereas industrial sector was found to be more intensive than other sectors within entire system,...

10.1021/es304816h article EN Environmental Science & Technology 2013-06-11

Gene panel selection aims to identify the most informative genomic biomarkers in label-free datasets. Traditional approaches, which rely on domain expertise, embedded machine learning models, or heuristic-based iterative optimization, often introduce biases and inefficiencies, potentially obscuring critical biological signals. To address these challenges, we present an gene strategy that harnesses ensemble knowledge from existing algorithms establish preliminary boundaries prior knowledge,...

10.48550/arxiv.2501.04718 preprint EN arXiv (Cornell University) 2025-01-02

10.1016/j.resconrec.2018.01.019 article EN publisher-specific-oa Resources Conservation and Recycling 2018-02-03

The source classification of domestic waste is important for protecting China’s rural environment but this more difficult in areas than urban due to the characteristics farmers China. This study discussed influencing factors farmers’ intention and behavior towards tried determine whether there’s a gap between behavior. Based on 833 valid questionnaires Taihu Lake Basin, structural model was constructed achieve goals study. results show that subjective norms, publicity education, are...

10.3389/fenvs.2023.1045816 article EN cc-by Frontiers in Environmental Science 2023-02-15

Abstract The relationship between changing climate and the three sectors of water, energy food is increasingly drawing attention today while all them are vital for sustainable development. This paper undertakes a bibliometric analysis 1,959 published articles from 2010 to 2020 provide knowledge base current nexus studies. main research power, domains, evolution trends frontier hotspots analyzed. conclusions as follows: (1) USA, China England contributed most in this field. Applied Energy...

10.2166/wcc.2021.450 article EN cc-by-nc-nd Journal of Water and Climate Change 2021-12-03

Purpose Reusable takeaway food containers (RTFCs) are a newly emerging green packaging choice for the industry that can effectively reduce campus solid waste but not yet well accepted. Therefore, this study aims to identify key factors influencing university students’ intention choose RTFCs, seeking enhance RTFC project management practices and contribute developing sustainable “green university.” Design/methodology/approach In total, 316 valid respondents from Chinese were surveyed data...

10.1108/ijshe-08-2023-0363 article EN International Journal of Sustainability in Higher Education 2024-07-22

The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data databases across all domains, including science, technology, humanities arts. scope journal includes descriptions systems, their implementations publication, applications, infrastructures, software, legal, reproducibility transparency issues, availability usability complex datasets, with particular focus principles,...

10.2481/dsj.14-042 article EN cc-by Data Science Journal 2014-01-01

The Chinese government has made a strong effort to solve pollution problems in the Taihu Basin, and scholars have also paid close attention these issues. Based on 2094 valid studies Basin obtained from Web of Science (WoS) core database 1998 2019, this study conducted systematic review research development trends using bibliometric methods. results reveal that academic achievement increased rapidly recent years, especially after severe blue-green algae bloom event Lake 2007. related are...

10.1139/er-2020-0058 article EN Environmental Reviews 2021-01-12

Lead (Pb) pollution is a serious environmental and health risk remains major challenge for China. This study analyzes China's atmospheric Pb emissions from the dual perspectives of production final demand, by integrating localized emission factors Multi-Regional Input – Output model. Our results show that Shandong, Hebei, Hubei directly contribute over 36% national emissions. However, demand perspective, some developed provinces, such as Jiangsu, Guangdong, Zhejiang, induce considerable...

10.1080/09535314.2022.2164483 article EN Economic Systems Research 2023-02-06

With the rapid improvement of exploration and monitoring technologies, oil gas industry has accumulated a large amount data in fields seismic exploration, logging, production, development. How to transform huge “data resources” into assets” fully utilize tap their real value better serve society is main concern today. Therefore, needs complete industrial upgrading “Smart Oilfield” through digital intelligent transformation. In recent years, rise big technology artificial intelligence have...

10.13374/j.issn2095-9389.2020.07.21.001 article EN Chinese Journal of Engineering 2021-02-26

This paper introduces the Cyberinfrastructure and e-Science application of joint research in Qinghai Lake National Nature Reserve, supporting cross-disciplinary, cross-organizational international collaborative research. We introduce from view how information technology can promote different aspects activities, including data acquisition, knowledge discovery by processing analyzing massive data, representation. is first one applied national nature reserve China also attempt to construct...

10.1016/j.proenv.2011.09.279 article EN Procedia Environmental Sciences 2011-01-01

Large-scale "pre-train and prompt learning" paradigms have demonstrated remarkable adaptability, enabling broad applications across diverse domains such as question answering, image recognition, multimodal retrieval. This approach fully leverages the potential of large-scale pre-trained models, reducing downstream data requirements computational costs while enhancing model applicability various tasks. Graphs, versatile structures that capture relationships between entities, play pivotal...

10.48550/arxiv.2408.14520 preprint EN arXiv (Cornell University) 2024-08-26

Screening data for phylogenetic analysis from large datasets is a known computational problem of data-intensive application. In this paper, we implement an approach to screen sequence The Platform Phylogenetic Analysis Land Plants (PALPP), using the MapReduce paradigm parallelize Basic Local Alignment Search Tool (BLAST) and manage its execution, machine virtualization encapsulate execution environment commonly sets into flexibly deployable virtual machines. Two methods BLAST Hadoop are...

10.1109/icndc.2010.66 article EN 2010-10-01

This paper introduces the cyber infrastructure and e-Science application practices for wild birds' monitoring protection in Qinghai Lake region. We have been building a to support research this area since 2006. introduce supporting on species identification, spatial distribution patterns analysis, avian influenza virus cross-species infection by presenting their methods, implementation, results. is first attempt China construct birds plateau area. The are also one applied national nature...

10.1109/escience.2011.56 article EN 2011-12-01

Remote sensor data are widely used in ecological, geographical and military applications. But nowadays, it is difficult to store process the massive remote sensing images whose volume still continually increasing. In order facilitate these GIS related data-intensive applications, a scalable high performance environment for storage processing required. this paper, infrastructure architecture Scientific Data Center, Chinese Academy of Sciences presented. Some key aspects discussed detailedly...

10.1109/icndc.2011.23 article EN 2011-09-01
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