Results 251 to 260 of about 347,359 (308)

Consumer Acceptance of New Sustainable Food Technologies: Upcycling Technology, Biostimulants, and Artificial Intelligence

Agribusiness, EarlyView.
ABSTRACT Food systems have a significant impact on environmental sustainability, underscoring the need for innovative technologies to support more sustainable agricultural methods. However, the adoption of these technologies hinges on consumer acceptance, making the analysis of consumer perceptions essential.
Greta Castellini, Guendalina Graffigna
wiley   +1 more source

Dual-functional Cu₂O/g-C₃N₄ heterojunctions: a high-performance SERS sensor and photocatalytic self-cleaning system for water pollution detection and remediation. [PDF]

Microsyst Nanoeng
Yang S, Li K, Huang P, Liu K, Li W, Zhuo Y, Yang Z, Han D.   +7 more
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

Spatiotemporal pattern of coastal water pollution and its driving factors: implications for improving water environment along Hainan Island, China. [PDF]

Front Microbiol
Du Y, Ren Z, Zhong Y, Zhang J, Song Q.
europepmc   +1 more source

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Water Pollution Physics

2022
This chapter applies the laws, theories, and principles of physics to contaminants dissolved or suspended in water. Water pollution occurs throughout the hydrologic cycle, including in surface waters, aquifers, sediment, water vapor, and in the biosphere. Thermodynamics and fluid dynamics in the hydrosphere are discussed.
openaire   +1 more source

Swimming in polluted waters

Science, 2016
Genomic data provide insights into the molecular basis for pollution tolerance of Atlantic ...
Michael, Tobler, Zachary W, Culumber
openaire   +2 more sources

Electrochemistry and Water Pollution

2013
This article reviews both the pollution by the electrochemical industry and the use of electrochemistry to clean water, air and soils. Main pollutants include Pd, Cd, Ni, Hg and other metals, SO2, CO2 and cyanide. The cause for water pollution by electrochemistry is due to the effluents from different electrochemical industries such as mercury from ...
Vasudevan, S., Oturan, Mehmet A.
openaire   +1 more source