Concept

Mining

Related publications (39)

A customized MOF-polymer composite for rapid gold extraction from water matrices

Wendy Lee Queen, Daniel Teav Sun, Shuliang Yang, Jun Li, Li Peng, Olga Syzgantseva

With the fast-growing accumulation of electronic waste and rising demand for rare metals, it is compelling to develop technologies that can promotionally recover targeted metals, like gold, from waste, a process referred to as urban mining. Thus, there is ...

AMER ASSOC ADVANCEMENT SCIENCE2023

Need for harmonized long-term multi-lake monitoring of African Great Lakes

To ensure the long-term sustainable use of African Great Lakes (AGL), and to better understand the func-tioning of these ecosystems, authorities, managers and scientists need regularly collected scientific data and information of key environmental indicato ...

London2023

Multiscale pattern analysis of building replacements in Zurich from 2000 to 2019

Corentin Jean Dominique Fivet, Jingxian Ye

Building replacement (BR) – i.e., the demolition of existing structures and subsequent construction of new buildings on the same site – is often understood as a necessary urban planning strategy despite significant environmental implications regarding soli ...

2023

Clay calcination technology: state-of-the-art review by the RILEM TC 282-CCL

Karen Scrivener, Franco Alberto Zunino Sommariva, Alastair Thomas Matthew Marsh, Mohsen Ben Haha, François Henri Avet, Shashank Bishnoi, Adrian Alujas Diaz, Anuj Parashar

The use of calcined clays as supplementary cementitious materials provides the opportunity to significantly reduce the cement industry's carbon burden; however, use at a global scale requires a deep understanding of the extraction and processing of the cla ...

SPRINGER2022

Seeking methods for improving sustainability in the extractive sector

Farnaz Eslamishoar

Extractive resources are indisputably a necessary component of international sustainable development. Despite current advancements in the circular economy, world production needs for raw materials are ever increasing, and still a long way remains for it to ...

EPFL2021

Extraction of Rare Earth Metals: The New Thermodynamic Considerations Toward Process Hydrometallurgy

Christian Ludwig, Rudolf Paul Wilhelm Jozef Struis, Andrea Testino, Ajay Bhagwan Patil

Successful management of secondary waste resources is essential for the viable circular economy. E-waste could serve as the potential urban mining source for the alternative supply chain of critical metals such as rare earth elements (REEs). The hydrometal ...

Springer Nature Switzerland AG2021

Early Prediction of Conceptual Understanding in Interactive Simulations

Jade Maï L Cock, Christian Giang, Mirko Marras

Interactive simulations allow students to independently ex- plore scientific phenomena and ideally infer the underlying principles through their exploration. Effectively using such environments is challenging for many students and there- fore, adaptive gui ...

2021

Person Retrieval in Surveillance Videos Via Deep Attribute Mining and Reasoning

Zhen Wei, Zhiye Wang, Peixia Li

Person retrieval largely relies on the appearance features of pedestrians. This task is rather more difficult in surveillance videos due to the limitations of extracting robust appearance features brought by the cross-view and cross-camera data with lower ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Spontaneous ecological recovery of vegetation in a red gypsum landfill: Betula pendula dominates after 10 years of inactivity

François Gillet

Red gypsum is the product of the neutralization of titanium dioxide (TiO2) extraction residue from ilmenite and anatase. The disposal of red gypsum creates heterogeneous plots with layers that may include Fe, Ca, Al, Mg, Mn, S, and other elements and an al ...

ELSEVIER SCIENCE BV2019

Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques

Marcos Rubinstein, Amirhossein Mostajabi

Article Open Access Published: 08 November 2019 Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques Amirhossein Mostajabi, Declan L. Finney, Marcos Rubinstein & Farhad Rachidi npj Climate and ...

2019

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