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High-vacancy-content ferrite with fine particles
Journal of Applied Physics, 1991The high-vacancy-content ferrites represented by x(MFe2O4)⋅y(Fe3O4)⋅z(γ-Fe2O3), where x+y+z=1 (z≳0.50), were obtained in the clear and strongly alkaline solutions of Fe(III) and M(II) tartrate [M(II)=Zn(II), Ni(II), and Cd(II)] or dextrose at 100 °C. The vacancies were replaced with the bivalent metal ions in the reaction solutions, and the replaced ...
T. Kodama +3 more
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Assessment on the effect of fine content and moisture content towards shear strength
2017The Geotechnical Engineering Journal of the SEAGS & AGSSEA, 48, 4, 76 ...
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Polyphosphate Content and Fine Structure of Acidocalcisomes ofPlasmodium falciparum
Microscopy and Microanalysis, 2004Although acidocalcisomes have been well characterized morphologically in other apicomplexan parasites, no such characterization has been done in Plasmodium spp. Here, we report thatPlasmodium falciparummerozoites possess electron-dense organelles rich in phosphorus and calcium, as detected by X-ray microanalysis of intact cells, which are similar to ...
Felix A, Ruiz +3 more
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Influence of Fine Particle Content to Sediment Transport
2011The sediment transport is important in hyper concentrated flow. More studies was did about fine particle can improve sediment transport. But no results consider median grain size of fine particle was 0.006mm and coarse was 0.035mm. We aim to make it clear by flume experiment.
Zhang Min, Wu Hua-Qin, Luo Li-qun
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Decreasing the fines content of sinter
Metallurgist, 1970V. A. Mirko +6 more
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CONTENT OF IONIC COMPOUNDS IN THE AMBIENT FINE PARTICULATE MATTER FRACTION
2021Because of its negative impact on human health, the climate and environment, the fine particulate matter fraction (PM2.5) presents a prominent environmental issue and is in the center of scientific concern. The most common natural sources of PM2.5 are sea spray and dust, while vehicular exhausts, shipping emissions, industrial emissions, agricultural ...
Čačković, Mirjana +3 more
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Reducing the content of fines in skip sinter
Metallurgist, 1988B. M. Boranbaev +5 more
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Content Specific Feature Learning for Fine-Grained Plant Classification. [PDF]
, 2015 We present the plant classification system submitted by the QUT RV team to the LifeCLEF 2015 plant task. Our system learns a content speciffic feature for various plant parts such as branch, leaf, fruit, ower and stem. These features are learned using a deep convolutional neural network.
Ge, Zong Yuan +3 more
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