Review
Environmental Sciences
Weixiang Li, Xin Li, Jing Tong, Weiping Xiong, Ziqian Zhu, Xiang Gao, Shuai Li, Meiying Jia, Zhaohui Yang, Jie Liang
Summary: This study reviewed a large number of articles to identify the sources and distribution of microplastics. The results showed that human activities significantly affected the global distribution of microplastics, with agriculture and urban activities being the main sources in different regions. These findings highlight the importance of region-specific policies to control microplastic pollution and recognize the role of soil composition in microplastic distribution.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Biotechnology & Applied Microbiology
Diogo Pinheiro, Sergio Santander-Jimenez, Aleksandar Ilic
Summary: PhyloMissForest is a framework proposed to impute missing entries in phylogenetic distance matrices and infer accurate evolutionary relationships. By merging multiple search strategies, machine learning, and phylogenetic techniques, PhyloMissForest provides a highly customizable and robust framework with significant topological accuracy and effective speedups over the state of the art.
Article
Biodiversity Conservation
James D. Hagy III, Betty J. Kreakie, Marguerite C. Pelletier, Farnaz Nojavan, John A. Kiddon, Autumn J. Oczkowski
Summary: One of the goals of coastal ecological research is to describe, quantify and predict human effects on coastal ecosystems. By using previous data and information, we have developed a predictive approach to assess the condition of coastal ecosystems. This method can help us understand and interpret the impact of environmental variables on ecosystem condition, and predict future changes.
ECOLOGICAL INDICATORS
(2022)
Article
Engineering, Environmental
Shruti Sachdeva, Bijendra Kumar
Summary: In the drought prone district of Dholpur in Rajasthan, India, groundwater is essential for its residents. By using predictive modeling techniques, it was found that around 20.2% of the region has very high groundwater potential, while 22.6% has high potential.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2021)
Article
Ecology
Kyle J. Brumm, R. Daniel Hanks, Robert F. Baldwin, Brandon K. Peoples
Summary: Researchers have developed and evaluated a scale-linked framework for prioritizing spatial units for conservation. The results show that scale-linked approaches can decrease costs and planning units, while better reflecting biotic metrics.
Article
Ecology
Luca Chiaverini, David W. Macdonald, Andrew J. Hearn, Zaneta Kaszta, Eric Ash, Helen M. Bothwell, Ozgun Emre Can, Phan Channa, Gopalasamy Reuben Clements, Iding Achmad Haidir, Pyae Phyoe Kyaw, Jonathan H. Moore, Akchousanh Rasphone, Cedric Kai Wei Tan, Samuel A. Cushman
Summary: Species Distribution Models (SDMs) are widely used to predict habitat suitability based on species occurrence data and habitat features. This study compared the performance of two algorithms, GLM and RF, and found that the choice of algorithm, study area, and species have significant effects on the spatial predictions and scales identified by SDMs. The results suggest that both GLM and RF have their strengths and limitations, and analysts should consider using multiple methods.
ECOLOGICAL INFORMATICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Michael J. Pennino, Meridith M. Fry, Robert D. Sabo, James N. Carleton
Summary: Excess nutrients in lakes can have detrimental effects on aquatic life and human health. Some U.S. states have established water quality criteria, but monitoring if these standards are being met is challenging. This study introduces a downloadable tool using R code and lake data to model the relationship between watershed characteristics and nutrient concentrations in surface water. The model identifies agriculture and forest land coverage, fertilizer inputs, and lake depth as the most important predictors of phosphorus levels.
ENVIRONMENTAL MODELLING & SOFTWARE
(2023)
Article
Engineering, Civil
Farahnaz Soleimani
Summary: This study evaluates the impact of different bridge portfolios and modeling parameters on seismic response, utilizing sensitivity analysis and statistical approaches. It proposes a machine learning algorithm to assess the importance of modeling parameters on estimating seismic demands. The findings contribute to a better understanding of the seismic performance of bridges with tall piers.
Article
Environmental Sciences
Heather Kropp, Michael M. Loranty, Susan M. Natali, Alexander L. Kholodov, Adrian Rocha, Isla Myers-Smith, Benjamin W. Abbot, Jakob Abermann, Elena Blanc-Betes, Daan Blok, Gesche Blume-Werry, Julia Boike, Amy L. Breen, Sean M. P. Cahoon, Casper T. Christiansen, Thomas A. Douglas, Howard E. Epstein, Gerald Frost, Mathias Goeckede, Toke T. Hoye, Steven D. Mamet, Jonathan A. O'Donnell, David Olefeldt, Gareth K. Phoenix, Verity G. Salmon, A. Britta K. Sannel, Sharon L. Smith, Oliver Sonnentag, Lydia Smith Vaughn, Mathew Williams, Bo Elberling, Laura Gough, Jan Hjort, Peter M. Lafleur, Eugenie S. Euskirchen, Monique M. P. D. Heijmans, Elyn R. Humphreys, Hiroki Iwata, Benjamin M. Jones, M. Torre Jorgenson, Inge Gruenberg, Yongwon Kim, James Laundre, Marguerite Mauritz, Anders Michelsen, Gabriela Schaepman-Strub, Ken D. Tape, Masahito Ueyama, Bang-Yong Lee, Kirsty Langley, Magnus Lund
Summary: Soils are warming in the Arctic and Boreal region as temperature rises, with tall shrubs and trees expanding in the tundra. Ecosystems with tall-statured shrubs and trees have warmer shallow soils compared to short-statured tundra vegetation, indicating that ground thermal regimes in the cold season are critical for predicting soil warming. The expansion of tall shrubs and trees into tundra regions can amplify shallow soil warming and increase potential for increased seasonal thaw depth, soil carbon cycling rates, carbon dioxide loss, and permafrost thaw.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Computer Science, Information Systems
Neelam Younas, Amjad Ali, Hafsa Hina, Muhammad Hamraz, Zardad Khan, Saeed Aldahmani
Summary: Ensemble methods can be used to identify causal relationships in data and improve prediction accuracy for estimating heterogeneous treatment effects. This paper proposes a regularized ensemble method by selecting the most accurate causal trees and integrating them into an ensemble model. The proposed method is applied on Pakistan's income function and outperforms other methods in terms of prediction performance.
Article
Computer Science, Theory & Methods
Christophe Dutang, Quentin Guibert
Summary: This paper proposes a split point procedure based on explicit likelihood to speed up the search for the best split point in CART. Through simulation and benchmarking on empirical datasets, GLM trees are shown to have good performance in certain situations. The approach is extended to multiway split trees and log-transformed distributions. A numerical comparison of GLM forests against other random forest-type approaches is also provided.
STATISTICS AND COMPUTING
(2022)
Article
Environmental Sciences
Xilin Zhao, Xiaolu Tang, Jie Du, Xiangjun Pei, Guo Chen, Tingting Xu
Summary: This study used a Random Forest algorithm and environmental variables to predict litterfall and estimate forest carbon turnover time in China. The results showed that carbon loss from litterfall has increased in recent decades, and forest carbon turnover time has decreased. Climate change dominates the inter-annual variability of carbon turnover time in high latitude areas, while land-cover change dominates regions with intensive human activities.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Engineering, Geological
Fengwen Lai, Ningning Zhang, Songyu Liu, Dayu Yang
Summary: This paper proposes an analytical framework for estimating active earth pressure on narrow soils, considering various factors such as soil friction and cohesion, soil arching effects, and shear stress between adjacent elements. The framework is validated using experimental data and finite-element analysis, and modified coefficients for active earth pressure and application height are provided.
Article
Environmental Sciences
Lv Zhou, Xuejian Li, Bo Zhang, Jie Xuan, Yulin Gong, Cheng Tan, Huaguo Huang, Huaqiang Du
Summary: In this study, a new method was developed to accurately calculate the 3D green volume of single trees from unmanned aerial vehicle laser scanner data, and compared with traditional algorithms, showing higher accuracy. The voxel coupling convex hull by slices algorithm can effectively improve the estimation accuracy of aboveground biomass (AGB) by considering 3D green volume.
Article
Computer Science, Information Systems
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Quan Z. Sheng
Summary: Tree-based models and deep neural networks are effective classification methods in machine learning. While tree-based models are robust across domains, deep neural networks excel in handling high-dimensional data. Incorporating a differentiable neural decision forest into the neural network can leverage the advantages of both models.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Ecology
Rebeca Arias-Real, Cayetano Gutierrez-Canovas, Isabel Munoz, Claudia Pascoal, Margarita Menendez
Summary: Research shows that under drying conditions, fungal biodiversity has a positive effect on organic matter decomposition and fungal biomass accrual; changes in fungal species composition are mainly driven by species turnover. Maintaining high levels of biodiversity is crucial for maintaining functional freshwater ecosystems in response to ongoing and future environmental changes.
Article
Biodiversity Conservation
Rachel Stubbington, Romain Sarremejane, Alex Laini, Nuria Cid, Zoltan Csabai, Judy England, Antoni Munne, Thomas Aspin, Nuria Bonada, Daniel Bruno, Sophie Cauvy-Fraunie, Richard Chadd, Claudia Dienstl, Pau Fortuno Estrada, Wolfram Graf, Cayetano Gutierrez-Canovas, Andy House, Ioannis Karaouzas, Eleana Kazila, Andres Millan, Manuela Morais, Petr Paril, Alex Pickwell, Marek Polasek, David Sanchez-Fernandez, Iakovos Tziortzis, Gabor Varbiro, Catherina Voreadou, Emma Walker-Holden, James White, Thibault Datry
Summary: This study found that human impacts and natural drying both have effects on river ecosystems, impacting the health of aquatic invertebrate communities. By analyzing data, it was determined that biological diversity indicators play a crucial role in assessing ecological status.
JOURNAL OF APPLIED ECOLOGY
(2022)
Review
Limnology
Cayetano Gutierrez-Canovas, Rebeca Arias-Real, Daniel Bruno, Marco J. Cabrerizo, Juan Manuel Gonzalez-Olalla, Felix Picazo, Ferran Romero, David Sanchez-Fernandez, Susana Pallares
Summary: This study reviewed 61 studies on freshwater ecosystems in the Iberian Peninsula and identified key stressors and their interactions, providing valuable information for biomonitoring and management in the region.
Article
Biodiversity Conservation
G. Pace, C. Gutierrez-Canovas, R. Henriques, C. Carvalho-Santos, F. Cassio, C. Pascoal
Summary: This study evaluates the capacity of remote sensing to detect river biomonitoring quality elements, finding that remote sensing indicators are correlated with riparian vegetation quality and dissolved inorganic nitrogen concentrations, and can predict changes in vascular plant biomass.
ECOLOGICAL INDICATORS
(2022)
Article
Ecology
Pedro Segurado, Cayetano Gutierrez-Canovas, Teresa Ferreira, Paulo Branco
Summary: This study aims to understand why inconsistencies in the response of biotic indicators to multiple stressors may occur. The researchers found that the length of the stressor gradient represented in different areas or temporal windows can greatly impact the detection of single stressor effects and the identification of stressor interactions. Insufficient coverage of stressor gradients in datasets can hinder the ability to uncover underlying multiple stressor effects. The simulations highlight the importance of adaptive management strategies based on robust sampling designs to minimize potential statistical artefacts and uncertainties.
ECOLOGICAL MODELLING
(2022)
Article
Multidisciplinary Sciences
Alex Laini, Simone Guareschi, Rossano Bolpagni, Gemma Burgazzi, Daniel Bruno, Cayetano Gutierrez-Canovas, Rafael Miranda, Cedric Mondy, Gabor Varbiro, Tommaso Cancellario
Summary: The monitoring of biological indicators is important for assessing environmental policies and guiding conservation actions. However, the lack of efficient data processing tools has limited the analysis of biomonitoring data. To address this issue, biomonitoR, a package for the R programming language, has been developed to manage ecological data and calculate biological indices. This versatile toolbox includes functions for customization of trait and sensitivity scores, computation at multiple taxonomic levels, calculation of various biological indices, user-friendly data visualization, and working with an interactive web application.
Article
Marine & Freshwater Biology
Katharina Rettig, Andreas Skriver Hansen, Matthias Obst, Daniel Hering, Christian K. Feld
Summary: Global climate change poses unprecedented challenges to coastal biodiversity and ecosystems. To effectively manage coastal ecosystems, it is important to understand the impact of human activities and identify areas for mitigation. Using a Bayesian Belief Network, this study integrated empirical data, expert knowledge, and literature evidence to assess the effects of environmental change on a marine protected area in Sweden. Results showed that sustainable development and regional collaborations are crucial for the management of eelgrass meadows and shrimp stock. This approach provides valuable insights for informed decision-making and understanding the consequences of socio-economic development.
ESTUARINE COASTAL AND SHELF SCIENCE
(2023)
Article
Fisheries
J. M. Pereniguez, L. A. Venerus, C. Gutierrez-Canovas, D. Abecasis, J. E. Ciancio, P. Jimenez-Montalban, J. A. Garcia-Charton
Summary: This study assessed different approaches to infer activity from acoustic telemetry data and compared them with acceleration biologgers. The results provide valuable insights into the limitations and potential biases of acoustic telemetry, as well as the importance of considering individual differences in behavioral studies.
ICES JOURNAL OF MARINE SCIENCE
(2022)
Article
Environmental Sciences
Veronica Granados, Rebeca Arias-Real, Cayetano Gutierrez-Canovas, Biel Obrador, Andrea Butturini
Summary: Water availability is a key factor driving biogeochemical processes in dynamic ecosystems such as intermittent rivers and ephemeral streams. However, the impact of the drying process on river biogeochemistry remains unclear. This study examined how drying conditions affect the concentration and composition of dissolved organic carbon (DOC) in streams. The results indicated that intensifying drying conditions were associated with higher DOC concentration and greater contribution of humic-like compounds, while protein-like compounds decreased.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Marine & Freshwater Biology
Christian K. Feld, Armin W. Lorenz, Matthias Peise, Manfred Fink, Claus-Juergen Schulz
Summary: Salinisation has direct and detrimental effects on freshwater organisms, and this study investigates its primary and secondary effects on aquatic macroinvertebrates. Water quality deterioration and physical habitat degradation are the main stressor gradients. The study also reveals the interaction between osmoregulatory and respiratory stress caused by the mass development of a salt-tolerant macrophyte species, adding complexity to the influence of multiple stressors in lotic systems and impacting river management and restoration.
Article
Multidisciplinary Sciences
Sebastian Prati, Julian Enss, Daniel S. Grabner, Annabell Huesken, Christian K. Feld, Annemie Doliwa, Bernd Sures
Summary: In lotic freshwater ecosystems, the drift or downstream movement of animals (e.g., macroinvertebrates) plays a crucial role in shaping ecological and evolutionary patterns. This study focuses on the modulation of amphipod drift by microsporidian parasites and reveals seasonal and diurnal variations in parasite prevalence and composition. These findings suggest that alterations in drifting behavior may have important implications for the population dynamics and dispersal of both the host and the parasite.
SCIENTIFIC REPORTS
(2023)
Article
Biodiversity Conservation
Rebeca Arias-Real, Pilar Hurtado, Giulia Gionchetta, Cayetano Gutierrez-Canovas
Summary: Aquatic fungi play a crucial role in global biogeochemical cycles, but the assembly processes determining their co-occurrence and assembly patterns over drying gradients are still unclear. Our study investigated co-occurrence patterns and assembly processes in 15 streams and found correlations between co-occurrence probability and species differences in conidia shape and fungal endophytic capacity. Functional diversity reduction over the drying gradient is generally associated with non-random abiotic filtering.
Article
Biodiversity Conservation
Fabio Marcolin, Pedro Segurado, Dan Chamberlain, Luis Reino
Summary: Introduced alien species have negative impacts on the diversity of native communities and ecosystem functioning. Non-invaded bird communities showed higher taxonomic and functional diversity compared to invaded communities. Human-disturbed areas had lower diversity and higher invasion by alien species. Overall, less human-modified and more heterogeneous areas supported higher bird diversity.
Article
Environmental Sciences
Katharina Rettig, Renate Semmler-Elpers, Denise Brettschneider, Daniel Hering, Christian K. Feld
Summary: This study linked multiple biological assessment metrics with potential causes of ecological deterioration through Bayesian belief networks, assisting in the diagnosis of river degradation causes and supporting management decisions.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Environmental Sciences
J. Lourenco, C. Gutierrez-Canovas, F. Carvalho, F. Cassio, C. Pascoal, G. Pace
Summary: Freshwaters are extremely vulnerable due to various stressors caused by human activities and environmental changes. A comprehensive study was conducted in North Portugal, analyzing the effects of multiple stressors on macroinvertebrates. The study found that nutrient enrichment, dissolved oxygen depletion, and thermal stress were the most significant stressors, affecting both taxonomic and functional diversity.
ENVIRONMENTAL RESEARCH
(2023)
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)