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| http://dx.doi.org/10.1016/j.accpm.2020.04.008 | DOI Listing |
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Boosting the phosphate adsorption of calcite by low Mg-Doping.
Environ Res
December 2024
College of Chemistry, Fuzhou University, Fuzhou, Fujian, 350108, China; CAS Key Laboratory of Design and Assembly of Functional Nanostructures, and Fujian Provincial Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian, 350002, China; Xiamen Key Laboratory of Rare Earth Photoelectric Functional Materials, Xiamen Institute of Rare Earth Materials, Haixi Institutes, Chinese Academy of Sciences, Xiamen, Fujian, 361021, China; Fujian College, University of Chinese Academy of Sciences, Fuzhou, Fujian, 350002, China. Electronic address:
Calcite is a promising material choice for adsorbing phosphates because of its abundance and environmentally benign nature. However, the slow adsorption kinetics and hence low adsorption capacity within a short time frame hinders its practical application. In this work, we solve these problems by presenting a low Mg-doped calcite adsorbent, Mg-10.
View Article and Find Full Text PDFRecent calls have been made for equity tools and frameworks to be integrated throughout the research and design life cycle -from conception to implementation-with an emphasis on reducing inequity in artificial intelligence (AI) and machine learning (ML) applications. Simply stating that equity should be integrated throughout, however, leaves much to be desired as industrial ecology (IE) researchers, practitioners, and decision-makers attempt to employ equitable practices. In this forum piece, we use a critical review approach to explain how socioecological inequities emerge in ML applications across their life cycle stages by leveraging the food system.
View Article and Find Full Text PDFA technical survey on practical applications and guidelines for IoT sensors in precision agriculture and viticulture.
Sci Rep
November 2024
Department of Engineering, School of Sciences and Technology, University of Trás-os-Montes e Alto Douro, Quinta de Prados - Folhadela, 5000-801, Vila Real, Portugal.
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- * The wine industry, especially in Southern Europe, is experiencing shifts in its economic and strategic landscape due to these challenges, necessitating better management practices for sustainable food access and nutrition.
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Predictive Models for the Implementation of Targeted Reproductive Management in Multiparous Cows on Automatic Milking Systems.
J Dairy Sci
November 2024
School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire, United Kingdom LE12 5RD.
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- Targeted reproductive management (TRM) seeks to enhance fertility in dairy herds by utilizing group-level management strategies based on predicted reproductive performance.
- The study evaluated how effectively automatic milking systems (AMS) data could predict the likelihood of cows expressing oestrus and conceiving after their first insemination, using data from the first 21 days in milk.
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A novel, robust, and portable platform for magnetoencephalography using optically-pumped magnetometers.
Imaging Neurosci (Camb)
September 2024
Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom.
Magnetoencephalography (MEG) measures brain function via assessment of magnetic fields generated by neural currents. Conventional MEG uses superconducting sensors, which place significant limitations on performance, practicality, and deployment; however, the field has been revolutionised in recent years by the introduction of optically-pumped magnetometers (OPMs). OPMs enable measurement of the MEG signal without cryogenics, and consequently the conception of "OPM-MEG" systems which ostensibly allow increased sensitivity and resolution, lifespan compliance, free subject movement, and lower cost.
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