Article
Operations Research & Management Science
Bin Zhang, Qingyao Xin, Min Tang, Niu Niu, Heran Du, Xiqiang Chang, Zhaohua Wang
Summary: This study discusses the issue of revenue distribution among enterprises participating in collaborative emission reduction process in the context of big data, proposing a Shapley value analysis model and taking into account investment costs and risk-bearing. This provides a theoretical guide for enterprises to take countermeasures following the implementation of China's future carbon trading mechanism.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Multidisciplinary Sciences
Dongchao Yu, Xu Tan, Zehui Liu, Dongliang Li, Zhenxing Wang, Pingping Yan, Jinhong Ni
Summary: In order to help China achieve its carbon reduction targets, this study focused on the feasibility of energy conservation and emission reduction in hospitals, which are complex and energy-consuming buildings. The study analyzed the reasons for high energy consumption in existing hospital buildings and proposed upgrading the systems and introducing photovoltaic power generation. The results showed significant energy savings and emission reductions after implementing the program.
Article
Green & Sustainable Science & Technology
Ximei Zeng, Zhongbao Zhou, Cenjie Liu
Summary: Energy conservation and carbon reduction are important ways to achieve carbon peak and carbon neutral goals. By constructing a data envelopment analysis model considering the materials balance principle, we can measure the energy and carbon efficiency as well as congestion effects of cities. The results show that poorly performing cities have potential for improvement in energy conservation and carbon reduction, and the potential comes from both technical inefficiency and congestion problems caused by excessive investment.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Environmental Sciences
Xiaoyuan Qi, Ying Han
Summary: Climate change mitigation and adaptation are common global challenges, and accelerating carbon neutrality and green recovery is a major global issue. Market-oriented emission reduction policies are widely discussed, yet most current policies lack effective source reduction control. Energy quota trading (EQT) is an innovative approach to energy-saving and emission reduction, showing promising results in pilots. Its potential lies in achieving both total amount and intensity control in energy saving and emission reduction efforts, especially when considering regional characteristics. The policy has proven effective and could be replicated nationwide, providing a reference for government policy improvement towards carbon-neutral and low-carbon development goals.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Engineering, Chemical
Xilian Han, Chao Li, Hongqiang Ma
Summary: This study proposed an experimental test and analyzed the theoretical performance of a solar water-heating system throughout a year. The results showed the positive correlation between solar irradiance and ambient temperature with heat collection efficiency, with winter auxiliary heat source consuming the most power. The system had significant effects on energy-saving and environmental protection, showing certain guiding significance for large-scale solar hot-water systems.
Article
Engineering, Civil
Yangying He, Linying Chen, Junmin Mou, Qingsong Zeng, Yamin Huang, Pengfei Chen, Song Zhang
Summary: This paper introduces a novel bio-inspired method that utilizes the favorable hydrodynamic interaction in ship convoys to achieve an energy bonus for the whole formation system or members. Through simulations and experiments, the feasibility of this method is verified, and a model is established to evaluate the resistance characteristics of ships in different configurations and velocities, finding the optimal configuration. Computational fluid dynamics results show that sailing in formation can achieve fuel savings and emission reduction.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Review
Multidisciplinary Sciences
Jun Liang, Jiawei Wu, Jun Guo, Huagen Li, Xianjun Zhou, Sheng Liang, Cheng-Wei Qiu, Guangming Tao
Summary: Photonic structures at the wavelength scale provide innovative energy solutions for various applications, reshaping the global energy landscape. Radiative cooling technology, based on structural and material design, offers opportunities for sustainable carbon neutrality as a zero-energy, eco-friendly cooling strategy. This review summarizes the fundamentals of radiative cooling technology, typical cooling materials, and their effects, discusses the research status and challenges, and outlines future application scenarios and development trends. Radiative cooling is expected to significantly contribute to global energy saving and emission reduction.
NATIONAL SCIENCE REVIEW
(2023)
Article
Environmental Sciences
Tiantian Xu, Chenyi Kang, Hua Zhang
Summary: The Chinese government has implemented energy-saving and emission-reduction policies in selected pilot cities to achieve green and low-carbon development. A study found that this policy has led to a relative decline in carbon emissions, with the effect increasing over time. The reduction in carbon emissions is achieved through promoting energy-saving, optimizing structure, and strengthening green techniques. The effectiveness of the policy varies across different factors.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Environmental Sciences
Junyi Shi, Huaqing Tang, Qunxing Zhou, Liangyu Han, Ri Hao
Summary: In this study, we utilized statistical modeling techniques to build an electricity-carbon model. Using macro statistical data and high-frequency power big data, we measured the monthly carbon emissions of Qinghai Province and its prefectural-level cities, as well as its industry, construction, and other five industries. We also evaluated the emission reduction contribution of green power. The results showed an imbalance in the distribution of carbon emissions and a significant reduction effect of green power.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Mathematics
Gabriel Villa, Sebastian Lozano, Sandra Redondo
Summary: The paper discusses a new project selection method for energy service companies, which aims to make more efficient use of limited resources. The method was applied to a real-world case in a Spanish energy service company, demonstrating its benefits and comparing the results with other approaches.
Article
Computer Science, Interdisciplinary Applications
Ximei Zeng, Zhongbao Zhou, Helu Xiao, Wenting Sun, Wenbin Liu
Summary: This paper presents a new method to measure energy efficiency considering congestion effects, which is crucial for energy conservation and emission reduction.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Liang Zhao, Junsheng Feng, Hui Dong
Summary: This paper quantitatively investigates the carbon reduction capacity in magnesia production using the carbon footprint method. The results show that improvement of production process and equipment, as well as energy source replacement, can significantly reduce the carbon footprint of magnesia.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Environmental Studies
Xiahai Wei, Feng Jiang, Lisha Yang
Summary: This study examines the effect and mechanism of big data on carbon emission reduction in China using a quasi-natural experiment. The research found that the policy of Big Data Comprehensive Pilot Zones significantly reduced carbon emissions by promoting industrial upgrading, improving energy use efficiency, and increasing green TFP in manufacturing. The study also revealed that the carbon emission reduction effect varied depending on city population size, levels of manufacturing development, resource endowments, and low-carbon policies in pilot cities. This research provides evidence and policy guidance for the application of the digital economy in green and low-carbon development and contributes to development economics and environmental economics.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Thermodynamics
Yongting Shen, Hongxing Yang
Summary: This study developed a solar-driven indoor CO2/H2O capture system that effectively reduces energy burden and CO2 emission while maintaining high IAQ. Compared to traditional methods, this system could save up to 64% of cooling energy and control indoor CO2 concentration below 1000 ppm and relative humidity within 25%-55%.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Computer Science, Artificial Intelligence
Xu Shen
Summary: With the continuous progress of urbanization, public buildings are facing various environmental problems, such as high carbon emissions and energy consumption, leading to significant environmental pollution. This paper integrates intelligent big data technology and Apriori algorithm to design and construct a carbon reduction measurement system for public buildings. By analyzing the entire life cycle of the buildings, the system calculates the energy consumption projects and converts them into carbon footprint indicators. It performs a quantitative assessment of the environmental pollution level and obtains carbon reduction assessment data based on the carbon emission factors. The results can be used for designing and implementing energy conservation and emission reduction policies.
Article
Computer Science, Interdisciplinary Applications
Qingyuan Zhu, Xingchen Li, Feng Li, Alireza Amirteimoori
Summary: This study proposes a method to select the best merger partner for a given company by using historical data to construct its production technology and applying 0-1 integer programming. It aims to comprehensively reflect production changes after M&A and has been tested on 27 commercial banks in China to assist them in selecting their best merger partner.
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
(2021)
Article
Computer Science, Interdisciplinary Applications
Qingyuan Zhu, Feng Li, Jie Wu, Jiasen Sun
Summary: The article discusses the limitations of traditional DEA and cross-efficiency evaluation, highlighting the issue of nonunique optimal weights. It introduces the concept of fairness utility and proposes a secondary goal model to maximize the minimum fairness of other DMUs while maintaining the optimal efficiency of the evaluated DMU.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Biodiversity Conservation
Qingyuan Zhu, Xingchen Li, Feng Li, Jie Wu, Jiasen Sun
Summary: Green growth is an economic growth mode that aims to achieve both economic growth and environmental sustainability. In order to accurately evaluate green growth in China's industrial sectors, it is necessary to consider the constraint of total energy consumption.
ECOLOGICAL INDICATORS
(2021)
Article
Operations Research & Management Science
Yongjun Li, Wenhui Hou, Weiwei Zhu, Feng Li, Liang Liang
Summary: The environmental issue has gained increasing attention in recent years, with environmental performance analysis considered a crucial tool for protecting the environment and promoting sustainability. This paper proposes an alternative Malmquist DEA approach to evaluating carbon emission performance, taking into account fixed-sum undesirable outputs. The approach is applied to assess carbon emission performance in 30 provincial regions in China from 2009 to 2015, providing analytical results and policy suggestions.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Management
Qingyuan Zhu, Juan Aparicio, Feng Li, Jie Wu, Gang Kou
Summary: In the context of data envelopment analysis (DEA) methodology, determining the closest targets on the efficient frontier has become a topic of increasing interest. Various approaches have been proposed in the literature, but many of them either lack strong monotonicity or are too complex for practical use. This paper introduces a Mixed Integer Linear Program (MILP) based on the extended facet production possibility set (EFPPS) to find the closest efficient targets, which addresses these limitations.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Yongjun Li, Hanbing Xue, Lin Lin, Feng Li, Liang Liang, Gang Kou
Summary: This paper proposes a new approach for evaluating the eco-inefficiency of two-stage structures and applies it to production and pollution treatment activities in 30 Chinese provincial regions. The results show that China performs well overall, with higher pollution treatment inefficiency than production inefficiency, and the eastern area outperforms the western area in both production and pollution treatment.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Management
Feng Li, Yue Wang, Ali Emrouznejad, Qingyuan Zhu, Gang Kou
Summary: The study investigated allocating fixed costs among peer decision-making units, extending the traditional fixed cost allocation problem to include undesirable outputs. Feasible allocation schemes were found to exist where all DMUs could be simultaneously efficient.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
Article
Management
Junfei Chu, Wang Su, Feng Li, Zhe Yuan
Summary: This paper proposes a new fixed cost allocation approach that takes into account individual rationality and fairness. By using the data envelopment analysis cross-efficiency evaluation, the authors develop two principles for individual rationality and two principles for overall fairness, and build a multi-objective model to solve the problem. The suggested approach outperforms some previous methods in numerical examples and a real-case study.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2023)
Article
Computer Science, Interdisciplinary Applications
Qingyuan Zhu, Shuqi Xu, Xingchen Li, Feng Li, Wei Chen
Summary: This study opened two black boxes in China's power industry by improving the network data envelopment analysis (DEA) method and the by-production method, and provided valuable recommendations.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Industrial
Feng Li, Danlu Zhang, Jinyu Zhang, Gang Kou
Summary: With the rapid development of the Chinese economy, China has become one of the largest countries in terms of energy consumption and carbon emissions. The Chinese government recently announced its dual carbon policy target, aiming to achieve carbon peak by 2030 and carbon neutrality by 2060. The thermal power industry, as a crucial energy sector and source of carbon emissions in China, plays a vital role in meeting energy needs and achieving carbon peak and carbon neutrality. In this study, a two-stage data envelopment analysis approach is proposed to measure and analyze the energy production-utilization efficiency of the Chinese thermal power industry, considering the fixed-sum carbon emission constraint. The empirical analysis focuses on the provincial level from 2015 to 2019, providing insights into the energy production-utilization efficiency of the thermal power industry in China.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Feng Li, Shiqi Ye, Julien Chevallier, Jinyu Zhang, Gang Kou
Summary: This study measures the energy and environmental efficiency of the transportation industry in China, considering a total fixed-sum constraint on carbon emissions under the dual-carbon policy target. A novel parallel data envelopment analysis approach is proposed to calculate the overall parallel transportation efficiency, and a decomposition framework is developed to estimate the individual performance of passenger transportation and freight transportation. Empirical analysis of the Chinese transportation industry from 2015 to 2019 provides valuable findings and policy suggestions.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Economics
Tao Ding, Yun Zhang, Danlu Zhang, Feng Li
Summary: In recent years, the Chinese government and universities have been working to improve the quality of higher education through university performance evaluation. Research activities in Chinese universities have distinct characteristics, including parallel interactive network structures and limited financial support. Previous studies have not addressed these features correctly, leading to potentially biased results. This paper proposes a novel data envelopment analysis (DEA) approach to evaluate university performance, taking into account the shared fixed-sum input in the network DEA model. The empirical application of the models to Chinese universities reveals variations in overall efficiency and provides recommendations for policymakers.
SOCIO-ECONOMIC PLANNING SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Yongjun Li, Shan Geng, Lizheng Wang, Feng Li
Summary: In this paper, a new robust data envelopment analysis (RDEA) method is proposed to handle asymmetrically distributed uncertainties. Previous studies in RDEA assume symmetrically distributed uncertainty, which is not always true in practical applications. The proposed method captures asymmetrically distributed uncertainties from historical data and outperforms existing RDEA models, providing more reliable and complete ranking results. A comprehensive case study is conducted to illustrate the merits of the proposed method and its flexibility in adjusting conservativeness according to decision-makers' preferences.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Management
Danlu Zhang, Feng Li, Lin Wei
Summary: This paper proposes an integrated approach for evaluating participating nations in the Olympic Games, addressing the shortcomings of existing methods in weights diversity and multiple equilibrium efficient frontiers. By considering the medals constraint, the proposed approach provides comprehensive ranking and relative ranking relationship. It offers more reasonable performance measurements and improves the overall satisfaction of participating nations.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2023)
Article
Management
Qingyuan Zhu, Jie Chen, Feng Li
Summary: This paper evaluates the efficiency of China's regional energy and environment using a two-stage DEA model, finding that most regions are inefficient in both energy production and utilisation stages, with the energy production system having a negative impact on overall efficiency. The study also reveals an imbalance in development among China's three major areas, with the eastern part having the highest efficiency. The empirical results provide effective measures to improve energy and environment efficiency.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2022)
Article
Environmental Sciences
Toshimi Nakajima, Mao Kuragano, Makoto Yamada, Ryo Sugimoto
Summary: This study compared the contribution of submarine groundwater discharge (SGD) to river nutrient budgets at nearshore and embayment scales, and found that SGD-derived nutrients become more important at larger spatial scales.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Fan Liu, Lei Zhang, Chongyang Zhang, Ziguang Chen, Jingguang Li
Summary: NO2 emissions from wall-mounted gas stoves used for household heating have become a significant source of indoor pollution in Chinese urban areas. The high indoor concentration of NO2 poses potential health risks to residents. It is urgently necessary to establish relevant regulations and implement emission reduction technologies to reduce NO2 emissions from wall-mounted gas stoves.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Letter
Environmental Sciences
Hans Peter H. Arp, Raoul Wolf, Sarah E. Hale, Sivani Baskaran, Juliane Gluege, Martin Scheringer, Xenia Trier, Ian T. Cousins, Harrie Timmer, Roberta Hofman-Caris, Anna Lennquist, Andre D. Bannink, Gerard J. Stroomberg, Rosa M. A. Sjerps, Rosa Montes, Rosario Rodil, Jose Benito Quintana, Daniel Zahn, Herve Gallard, Tobias Mohr, Ivo Schliebner, Michael Neumann
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Philomina Onyedikachi Peter, Binessi Edouard Ifon, Francois Nkinahamira, Kayode Hassan Lasisi, Jiangwei Li, Anyi Hu, Chang-Ping Yu
Summary: This study investigates the relationship between dissolved organic matter (DOM) and Rare Earth Elements (REEs) in sediments from Yundang Lagoon, China. The results show four distinct fluorescent components, with protein-like substances being the most prevalent. Additionally, the total fluorescence intensity and LREE concentrations exhibit a synchronized increase from Outer to Inner to Songbai Lake core sediments. The findings demonstrate a strong correlation between DOM content and pollution levels.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Surya Gupta, Pasquale Borrelli, Panos Panagos, Christine Alewell
Summary: The objective of this study is to incorporate soil hydraulic properties into the erodibility factor (K) of USLE-type models. By modifying and improving the existing equations for soil texture and permeability, the study successfully included information on saturated hydraulic conductivity (Ksat) into the calculation of K factor. Using the Random Forest machine learning algorithm, two independent K factor maps with different spatial resolutions were generated. The results show that the decrease in K factor values has a positive impact on the modeling of soil erosion rates.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Jesmin Akter, Wendy J. M. Smith, Yawen Liu, Ilho Kim, Stuart L. Simpson, Phong Thai, Asja Korajkic, Warish Ahmed
Summary: The choice of workflow in wastewater surveillance has a significant impact on SARS-CoV-2 concentrations, while having minimal effects on HF183 and no effect on HAdV 40/41 concentrations. Certain components in the workflow can be interchangeable, but factors such as buffer type, chloroform, and homogenization speed can affect the recovery of viruses and bacteria.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Yu Luo, Xueting Yang, Diwei Wang, Hongmei Xu, Hongai Zhang, Shasha Huang, Qiyuan Wang, Ningning Zhang, Junji Cao, Zhenxing Shen
Summary: Atmospheric PM2.5, which can generate reactive oxygen species (ROS), is associated with cardiorespiratory morbidity and mortality. The study found that both the mass concentration of PM2.5 and the DTT activity were higher during the heating season than during the nonheating season. Combustion sources were the primary contributors to DTT activity during the heating season, while secondary formation dominated during the nonheating season. The study also revealed that biomass burning had the highest inherent oxidation potential among all sources investigated.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Erin L. Murphy, Leah R. Gerber, Chelsea M. Rochman, Beth Polidoro
Summary: Plastic pollution has devastating consequences for marine organisms. This study uses a trait-based framework to develop a vulnerability index for marine mammals, seabirds, and sea turtles in Hawai'i. The index ranks 63 study species based on their vulnerability to macroplastic pollution, providing valuable information for species monitoring and management priorities.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Kenji Maurice, Amelia Bourceret, Sami Youssef, Stephane Boivin, Liam Laurent-Webb, Coraline Damasio, Hassan Boukcim, Marc-Andre Selosse, Marc Ducousso
Summary: Growing pressure from climate change and agricultural land use is destabilizing soil microbial community interactions. Little is known about microbial community resistance and adaptation to disturbances, hindering our understanding of recovery latency and implications for ecosystem functioning. This study found that anthropic disturbance and natural disturbance have different effects on the topology and stability of soil microbial networks.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Yunhao Li, Yali Feng, Haoran Li, Yisong Yao, Chenglong Xu, Jinrong Ju, Ruiyu Ma, Haoyu Wang, Shiwei Jiang
Summary: Deep-sea mining poses a serious threat to marine ecosystems and human health by disturbing sediment and transmitting metal ions through the food chain. This study developed a new regenerative adsorption material, OMN@SA, which effectively removes metal ions. The adsorption mechanism and performance of the material for metal ion fixation were investigated.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Antonio Medici, Margherita Lavorgna, Marina Isidori, Chiara Russo, Elena Orlo, Giovanni Luongo, Giovanni Di Fabio, Armando Zarrelli
Summary: Valsartan, a widely used antihypertensive drug, has been detected in high concentrations in surface waters due to its unchanged excretion and incomplete degradation in wastewater treatment plants. This study investigated the degradation of valsartan and identified 14 degradation byproducts. The acute and chronic toxicity of these byproducts were evaluated in key organisms in the freshwater trophic chain.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Jiang Lin, Lianbao Chi, Qing Yuan, Busu Li, Mingbao Feng
Summary: This study investigated the photodegradation behavior and product formation of two representative pharmaceuticals in simulated estuary water. The study found that the formed transformation products of these pharmaceuticals have potential toxicity on marine organisms, including oxidative stress and damage to cellular components.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Hua Fang, Dongdong Jiang, Ye He, Siyi Wu, Yuehong Li, Ziqi Zhang, Haoting Chen, Zixin Zheng, Yan Sun, Wenxiang Wang
Summary: This study revealed that exposure to lower levels of air pollutants led to decreased pregnancy rates, with PM10, NO2, SO2, and CO emerging as the four most prominent pollutants. Individuals aged 35 and above exhibited heightened susceptibility to pollutants.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Ali Shaan Manzoor Ghumman, Rashid Shamsuddin, Amin Abbasi, Mohaira Ahmad, Yoshiaki Yoshida, Abdul Sami, Hamad Almohamadi
Summary: In this study, inverse vulcanized polysulfides (IVP) were synthesized by reacting molten sulfur with 4-vinyl benzyl chloride, and then functionalized using N-methyl D-glucamine (NMDG). The functionalized IVP showed a high mercury adsorption capacity and a machine learning model was developed to predict the amount of mercury removed. Furthermore, the functionalized IVP can be regenerated and reused, providing a sustainable and cost-effective adsorbent.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Rita Bonfiglio, Renata Sisto, Stefano Casciardi, Valeria Palumbo, Maria Paola Scioli, Erica Giacobbi, Francesca Servadei, Gerry Melino, Alessandro Mauriello, Manuel Scimeca
Summary: This study investigated the presence of aluminum in human colon cancer samples and its potential association with biological processes involved in cancer progression. Aluminum was found in tumor areas of 24% of patients and was associated with epithelial to mesenchymal transition (EMT) and cell death. Additional analyses revealed higher tumor mutational burden and mutations in genes related to EMT and apoptosis in aluminum-positive colon cancers. Understanding the molecular mechanisms of aluminum toxicity may improve strategies for the management of colon cancer patients.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
