Article
Computer Science, Artificial Intelligence
Zan Chen, Wenlong Guo, Yuanjing Feng, Yongqiang Li, Changchen Zhao, Yi Ren, Ling Shao
Summary: This paper proposes a CS reconstruction method that combines deep-learned regularization term and proximal operator to solve image reconstruction problems. By utilizing a residual network and channel attention network, adaptive proximal selection strategy, as well as self-ensemble strategy, the proposed method achieves more accurate reconstruction results compared to competing methods.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)
Article
Engineering, Electrical & Electronic
Sarit Khirirat, Xiaoyu Wang, Sindri Magnusson, Mikael Johansson
Summary: Choosing proper step-size schedules is crucial for distributed optimization with massive data. This paper demonstrates the effectiveness of diminishing step-size strategies for a broad class of noisy gradient algorithms, enabling fast convergence and optimal rates.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2023)
Article
Computer Science, Artificial Intelligence
Shan Ai, Arthur Sandor Voundi Koe, Teng Huang
Summary: Recent works have shown that deep neural networks can be vulnerable to intentional perturbations, leading to the generation of adversarial examples. Research on adversarial examples in remote sensing imagery has gained popularity, but not all proposed methods are feasible due to unrealistic assumptions or high computation overhead.
APPLIED SOFT COMPUTING
(2021)
Article
Engineering, Electrical & Electronic
Yue Ma, Kaishan Song, Zhidan Wen, Ge Liu, Yingxin Shang, Lili Lyu, Jia Du, Qian Yang, Sijia Li, Hui Tao, Junbin Hou
Summary: This study aimed to find an optimal regression model to predict water turbidity accurately using remote sensing data, identifying gradient boosting decision tree as the best choice. Feature selection technique improved model performance, with B2, B3, B4, and B5 identified as important variables.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Review
Computer Science, Information Systems
Abhishek Sharma, Vaidehi Sharma, Mohita Jaiswal, Hwang-Cheng Wang, Dushantha Nalin K. Jayakody, Chathuranga M. Wijerathna Basnayaka, Ammar Muthanna
Summary: Intelligent sensing technology has gained significant attention in recent years, driven by the growth of artificial intelligence. Current research focuses on AI-based algorithms for intelligent sensing, exploring applications and future directions in this field.
Article
Geochemistry & Geophysics
Li Chen, Zewei Xu, Qi Li, Jian Peng, Shaowen Wang, Haifeng Li
Summary: This study tested eight state-of-the-art classification DNNs on six RSI benchmarks and found that adversarial examples can impact remote sensing image scene classification. The seriousness of the adversarial problem in optical data has a negative relationship with the richness of the feature information, while adversarial examples generated from SAR images can easily fool models.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Geochemistry & Geophysics
Di Wang, Jing Zhang, Bo Du, Gui-Song Xia, Dacheng Tao
Summary: Deep learning has achieved great success in aerial image understanding for remote sensing research. However, most existing models are pretrained with ImageNet weights which hinder their fine-tuning performance on downstream aerial scene tasks due to domain gaps. This study empirically investigates RS pretraining on aerial images, training different networks from scratch using the MillionAID dataset to obtain pretrained backbones. Results show that RS pretraining enhances performance in scene recognition and RS-related semantics tasks, but task discrepancies still exist, highlighting the need for further research on large-scale pretraining datasets and effective methods.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Engineering, Electrical & Electronic
Guangle Yao, Wenlong Zhou, Mingzhe Liu, Qiang Xu, Honghui Wang, Jun Li, Yuanzhen Ju
Summary: This article evaluates the capabilities of convolutional neural networks in detecting objects with ambiguous boundaries in remote sensing imagery. It provides a fundamental principle of object representation and meaningful suggestions for information learning. The article concludes by presenting several promising directions for future research in object detection.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Computer Science, Artificial Intelligence
Chang-Dong Wang, Wu-Dong Xi, Ling Huang, Yin-Yu Zheng, Zi-Yuan Hu, Jian-Huang Lai
Summary: This study proposes a novel recommendation framework based on Back Propagation neural network with attention mechanism, addressing the issues of high computational and storage costs, as well as overfitting in recommender systems.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2022)
Article
Geochemistry & Geophysics
Jiacheng Shi, Wei Liu, Haoyu Shan, Erzhu Li, Xing Li, Lianpeng Zhang
Summary: Scene classification in remote sensing plays a crucial role, and the development of convolutional neural networks (CNNs) has greatly improved its accuracy. However, the complexity and small size of objects in high-resolution RS images make CNNs ineffective. To overcome this challenge, a novel multibranch fusion attention network (MBFANet) is proposed to improve feature extraction and generalization performance. Using a multibranch fusion attention module (MBFAM), the model is able to focus on key cues that are difficult to classify, leading to improved performance on RS scene classification datasets.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Bo Feng, Yi Liu, Hao Chi, Xinzhuang Chen
Summary: In this study, a method using residual generative adversarial networks for hyperspectral image classification is proposed, which improves the information exchange between shallow and deep networks by adding a residual structure to the network, extracts deep features of hyperspectral images, and improves classification accuracy. Extensive experiments have shown that the method outperforms comparative methods by 0.7% to 22.3% on OA accuracy on several benchmark hyperspectral datasets.
Review
Remote Sensing
Lucas Prado Osco, Jose Marcato Junior, Ana Paula Marques Ramos, Lucio Andre de Castro Jorge, Sarah Narges Fatholahi, Jonathan de Andrade Silva, Edson Takashi Matsubara, Hemerson Pistori, Wesley Nunes Goncalves, Jonathan Li
Summary: This paper reviews the recent research on DNN algorithms applied in UAV-based image applications, focusing on the use of classification and regression techniques and discussing potential future directions in this field.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Environmental Sciences
Mingzhe Feng, Xin Sun, Junyu Dong, Haoran Zhao
Summary: This paper proposes a network structure that uses dynamic receptive field and Gaussian pyramid pooling to address the issue of scale variation in remote sensing image segmentation. The network achieves better performance than other methods on large remote sensing image datasets.
Article
Environmental Sciences
Hojat Shirmard, Ehsan Farahbakhsh, Elnaz Heidari, Amin Beiranvand Pour, Biswajeet Pradhan, Dietmar Muller, Rohitash Chandra
Summary: This study successfully mapped lithological units of a mineral-rich area in the southeast of Iran using a combination of deep learning and conventional machine learning methods, and compared the efficiency of three different types of multispectral remote-sensing data. The combination of CNNs and ASTER data provided the best performance and highest accuracy in generating an accurate lithological map of the study area.
Article
Geochemistry & Geophysics
Cheng Peng, Yangyang Li, Licheng Jiao, Ronghua Shang
Summary: This article investigates a new paradigm to automatically design a suitable CNN architecture for scene classification, achieving impressive classification performance on remote sensing scene images through an efficient architecture search framework and dataset merging strategy.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Manxue Zhang, Yunlin Zhang, Jianming Deng, Miao Liu, Yongqiang Zhou, Yibo Zhang, Kun Shi, Cuiling Jiang
Summary: Cyanobacterial blooms in oligotrophic lakes, such as Lake Qiandaohu, are closely associated with thermal stratification and rainstorm floods. Studying the dynamics of cyanobacterial blooms in these lakes improves our understanding of the driving mechanisms behind these blooms.
ENVIRONMENTAL RESEARCH
(2022)
Correction
Marine & Freshwater Biology
Hai Xu, Boqiang Qin, Hans W. Paerl, Kai Peng, Qingji Zhang, Guangwei Zhu, Yunlin Zhang
Article
Water Resources
Miao Liu, Yunlin Zhang, Yongqiang Zhou, Kun Shi, Guangwei Zhu, Xiao Sun
Summary: This study aimed to understand the thermal stratification in deep reservoirs in the subtropical hilly area of eastern China. The results showed that light attenuation had a stronger explanatory power for mixed layer depth compared to reservoir morphometry and wind speed. Water depth and light attenuation were the main factors contributing to the differences in metalimnion thickness among these reservoirs.
HYDROLOGICAL PROCESSES
(2022)
Article
Limnology
Chaoxuan Guo, Mengyuan Zhu, Hai Xu, Yunlin Zhang, Boqiang Qin, Guangwei Zhu, Jianjun Wang
Summary: The study found that the dependency of resource use efficiency (RUE) on phytoplankton diversity has spatiotemporal patterns. The RUE of nitrogen, phosphorous, and silicate showed different temporal trends. RUE was affected by nutrients and water temperature, and was also related to phytoplankton diversity. Interestingly, there was a negative spatial dependency between RUE and phytoplankton diversity. These dependencies were related to the spatial distribution of nutrients. Furthermore, the temporal dependency of RUE on phytoplankton diversity differed in different regions, primarily driven by the temporal stability of nutrients. These findings are important for future environmental management plans.
LIMNOLOGY AND OCEANOGRAPHY
(2022)
Article
Environmental Sciences
Xiaomei Su, Alan D. Steinman, Yunlin Zhang, Hong Ling, Dan Wu
Summary: Hydraulic disturbance in shallow lakes can lead to the release of sediment nutrients into the water column, contributing to nutrient enrichment and eutrophication. This study examined the seasonal variations and spatial distributions of nitrogen and phosphorus in Lake Yangcheng and its tributaries. The concentrations of nutrients were higher in the connected rivers compared to the lake, indicating external loading as a significant contributor. The study also found that nutrient concentrations varied temporally and spatially, with highest values observed in the winter for TN and in the summer for TP. The enrichment of nutrients in the lake sediment was severe, calling for further research on the seasonality of nutrient exchange.
Letter
Biodiversity Conservation
Jinling Wang, Yongqiang Zhou, Lei Zhou, Yunlin Zhang, Boqiang Qin, Robert G. M. Spencer, Justin D. Brookes, Erik Jeppesen, Gesa A. Weyhenmeyer, Fengchang Wu
GLOBAL CHANGE BIOLOGY
(2023)
Article
Environmental Sciences
Na Li, Yunlin Zhang, Kun Shi, Yibo Zhang, Xiao Sun, Weijia Wang, Haiming Qian, Huayin Yang, Yongkang Niu
Summary: Total phosphorus (TP) is the main limiting factor of eutrophication for inland waters globally. However, data gaps in TP dynamics exist due to the limitations of traditional sampling methods and satellite observations. A novel ground-based hyperspectral proximal sensing system (GHPSs) was developed for automatic, real-time and continuous observation of TP, and showed high accuracy and wide applicability in monitoring TP in inland waters.
Article
Engineering, Environmental
Lei Zhou, Yongqiang Zhou, Yunlin Zhang, Yonghong Wu, Kyoung-Soon Jang, Robert G. M. Spencer, Justin D. Brookes, Erik Jeppesen
Summary: Alpine river and lake systems on the Tibetan Plateau act as indicators and amplifiers of global climate change and play a crucial role in the carbon cycle. However, our understanding of dissolved organic matter (DOM) variation within these systems is limited. In this study, we used optical spectroscopy, ultrahigh-resolution mass spectrometry, and stable water isotopic measurements to assess the links between DOM composition and hydrological connection. Our findings reveal that hydrological conditions, including glacier melt, significantly impact DOM composition and potential biogeochemical function in surface waters on the Tibetan Plateau.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Biodiversity Conservation
Yuanrui Li, Juan Tao, Yunlin Zhang, Kun Shi, Junjun Chang, Min Pan, Lirong Song, Erik Jeppesen, Qichao Zhou
Summary: Climate change and urbanization have complex interactions with phytoplankton blooms (PBs) in Lake Dianchi. Our study found that PBs in the lake had advanced initiation and longer duration, likely due to increased water temperature and reduced nutrient concentrations. However, the area and severity of PBs showed a decreasing trend, possibly attributed to increased wind speed and/or reduced nutrient levels. Urbanization, with the enhanced land surface temperature, could alter the thermodynamic characteristics and regulate the phenology and severity of PBs in the lake.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Engineering, Environmental
Yongqiang Zhou, Lili Chen, Lei Zhou, Yunlin Zhang, Kai Peng, Zhijun Gong, Kyoung-Soon Jang, Robert G. M. Spencer, Erik Jeppesen, Justin D. Brookes, Dolly N. Kothawala, Fengchang Wu
Summary: The Eastern Route of the South-to-North Water Diversion Project aims to alleviate water shortage in arid regions of northern China by diverting a substantial amount of water. The project has significant implications for the hydrological connectivity and biogeochemical cycling of dissolved organic matter (DOM) in regional lakes.
Article
Engineering, Environmental
Jianming Deng, Kun Shan, Kun Shi, Song S. Qian, Yunlin Zhang, Boqiang Qin, Guangwei Zhu
Summary: Although nutrient reduction alone is less effective in combating cyanobacterial blooms due to climate change, this study developed a model using nutrient levels and climatic factors to predict spring cyanobacterial blooms. The results showed that both climatic factors and nutrients played vital roles, with climatic factors being the primary drivers. Climate change had a 90% probability of increasing the bloom area, but nutrient reduction helped mitigate the expansion. The study provides an effective method for deriving dynamic nutrient thresholds for lake management under different climatic scenarios.
Article
Engineering, Environmental
Minli Guo, Xiaolu Li, Yi Wang, Yunlin Zhang, Qinglong Fu, Arnaud Huguet, Guanglong Liu
Summary: This study used EEM fluorescence spectroscopy and FT-ICR MS to assess the release of DIP during POM photodegradation. The results showed that POM significantly photodegraded under light irradiation, accompanied by the production and release of DIP in the aqueous solution. Organic phosphorus participated in photo-chemical reactions, generating oxygen-enriched and saturated compounds that can be utilized by organisms. Reactive oxygen species and 3CDOM* played important roles in POM photodegradation.
Article
Multidisciplinary Sciences
Yunlin Zhang, Jianming Deng, Boqiang Qin, Guangwei Zhu, Yinjun Zhang, Erik Jeppesen, Yindong Tong
Summary: Drinking water is closely related to human health, disease, and mortality, and contaminated drinking water causes 485,000 deaths from diarrhea each year worldwide. China is facing increasingly severe water scarcity due to both water shortages and poor water quality. Ensuring safe and clean drinking water is a great challenge and top priority, especially for China with 1.4 billion people.
FUNDAMENTAL RESEARCH
(2023)
Article
Environmental Sciences
Yingxun Du, Feizhou Chen, Yunlin Zhang, Hu He, Shuailong Wen, Xiulin Huang, Chunqiao Song, Kuanyi Li, Junbo Wang, David Keellings, Yuehan Lu
Summary: The composition of dissolved organic matter (DOM) in lakes is influenced by multiple environmental factors at a continental scale. The study conducted in China's 182 lakes revealed that land cover and societal development have a positive direct effect on the quantity of DOM in lakes. Climate, on the other hand, has both a warming effect on soil organic matter production and export, and an enhancing effect on in-lake transformation of DOM. Three indicators were proposed to assess the influence of biogeochemical drivers on lake DOM across different ecoclimatic zones.
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)