Results 61 to 70 of about 868,049 (299)
PHYTORECULTIVATION OF ROCK MASS DUMPS WITH APPLICATION OF PRODUCT OF UTILIZATION OF INDUSTRIAL WASTES AS A FERTILIZER [PDF]
, 2018 One of the types of man-made landscapes are dumps of spent rock mass, which, occupying significant areas of the earth's surface, change the terrain, are sources of secondary pollution of atmospheric air by dust and subsequent ...
Maznytskaya, Oksana, Pasenko, Alona
core
Advanced Functional Materials, EarlyView.This work explores Li‐substituted P2 layered oxides for Na‐ion batteries by crystallographic and electrochemical studies. The effect of lithium on superstructure orderings, on phase transitions during synthesis and electrochemical cycling and on the interplay of O‐ versus TM‐redox is revealed via various advanced techniques, including semi‐simultaneous
Mingfeng Xu +5 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana +2 more
wiley +1 more source
Integrated analysis of geofiltrational parameters in the context of underground coal gasification relying upon calculations and modeling [PDF]
, 2018 Objective of the paper is to substantiate and implement the integrated approach aimed at the studies of filtration and mass-transfer processes within roof rocks of coal seams in the context of their underground ...
Dereviahina, Nataliia +7 more
core +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Frontiers in Earth Science, 2022 It is difficult to monitor the deformation of a rock mass in front of a tunnel owing to the large buried depth and complex geological conditions. In this study, by using a self-designed model test box as a carrier and using loess, sand, gypsum, cement ...
Zhengguo Zhu +6 more
doaj +1 more source
Evaluasi Massa Batuan Terowongan Eksplorasi Uranium Eko-Remaja, Kalan, Kalimantan Barat [PDF]
, 2016 Eko-Remaja uranium exploration tunnel, Kalan, West Kalimantan is one of the important facilities for uranium deposit research. The tunnel was built in 1980 with a length of 618 meters penetrating Eko Hill on both sides.
Garwan, M. B. (Mirna) +2 more
core +3 more sources
From Waste to Value: Conversion of Calcium Sulfate to Vaterite via Carbon Capture and Storage
Advanced Functional Materials, EarlyView.This study introduces a new concept for carbon management that relies on the carbonation of industrial gypsum waste and yields phase‐pure vaterite at ambient conditions without any additives. The obtained vaterite is further shown to be a reactive material that develops compressive strength in aqueous suspensions like conventional cements.
Carlos Pimentel +4 more
wiley +1 more source
Frontiers in Earth ScienceIn view of the unknown mechanical response behavior of weak interlayer surrounding rock under complex stress environment, this paper adopts laboratory experimental research method to carry out uniaxial compression and cyclic loading and unloading tests ...
Dong Wei, Dong Wei
doaj +1 more source
Sensors, 2020 Characterizing the surface deformation during the inter-survey period could assist in understanding rock mass progressive failure processes. Moreover, 3D reconstruction of rock mass surface is a crucial step in surface deformation detection.
Qijun Hu +6 more
doaj +1 more source