Inclusions properties at 1673 K and room temperature with Ce addition in SS400 steel

Pan, Fei; Chen, Hao Long; Su, Yen Hsun; Su, Yen Hao Frank; Hwang, Woonbong

doi:10.1038/s41598-017-02478-6

Cited by 15 publications

(9 citation statements)

References 21 publications

(20 reference statements)

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“…Except for plant diversity estimation, the methodology used in the present study can help in recovering estimates made through remote sensing data for other ecological applications 41 , 42 . Ecological condition evaluations, such as riparian condition 43 , vegetation eco-restoration 44 and forest cover mapping 45 , all of which are variables derived from satellite or airborne imageries at a grain of 30 m or coarser, might be improved by hyperspectral data and stepwise linear regression on narrower sensitive wavebands. To improve airborne imagery, hyperspectral data tends to average a very large number of fine-plots to provide reflectance at a coarser scale 3 , 23 , 39 .…”

Section: Discussionmentioning

confidence: 99%

Assessment of plant species diversity based on hyperspectral indices at a fine scale

Peng

Min

Song

et al. 2018

Sci Rep

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Fast and nondestructive approaches of measuring plant species diversity have been a subject of excessive scientific curiosity and disquiet to environmentalists and field ecologists worldwide. In this study, we measured the hyperspectral reflectances and plant species diversity indices at a fine scale (0.8 meter) in central Hunshandak Sandland of Inner Mongolia, China. The first-order derivative value (FD) at each waveband and 37 hyperspectral indices were used to assess plant species diversity. Results demonstrated that the stepwise linear regression of FD can accurately estimate the Simpson (R2 = 0.83), Pielou (R2 = 0.87) and Shannon-Wiener index (R2 = 0.88). Stepwise linear regression of FD (R2 = 0.81, R2 = 0.82) and spectral vegetation indices (R2 = 0.51, R2 = 0.58) significantly predicted the Margalef and Gleason index. It was proposed that the Simpson, Pielou and Shannon-Wiener indices, which are widely used as plant species diversity indicators, can be precisely estimated through hyperspectral indices at a fine scale. This research promotes the development of methods for assessment of plant diversity using hyperspectral data.

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Section: Discussionmentioning

confidence: 99%

Assessment of plant species diversity based on hyperspectral indices at a fine scale

Peng

Min

Song

et al. 2018

Sci Rep

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“…Controlling on the characteristics of particles in the metallic materials has been one of the leading subjects in the field of metallurgy which directly effects the progress of melting 1 , mechanical properties and service life of final products 2 , 3 . In spite of efforts dedicated to the utmost removal of the particles, they still exist in metallic materials 4 , 5 . In recent years, focus is shifting from the removal of particles to effective utilization of fine particles, aiming at refining the microstructure, and improving the strength and fracture toughness 6 – 8 .…”

Section: Introductionmentioning

confidence: 99%

Nucleation and Ostwald Growth of Particles in Fe-O-Al-Ca Melt

Wang

Yang

et al. 2018

Sci Rep

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Tremendous focus has been put on the control of particle size distribution which effects the grain structure and mechanical properties of resulting metallic materials, and thus nucleation and growth of particles in solution should be clarified. This study uses classical nucleation theory and Ostwald ripening theory to probe the relationship between the compositions of Fe-O-Al-Ca melts and the behavior of particles under the condition of no external stirring. Our experimental data suggest that decreasing the initial Ca addition and Al addition is conductive to the increase of nucleation rate for calcium aluminate particles, which exhibits a same change trend with that predicted from classical nucleation theory. Based on the experimental evidence for particles size distribution in three-dimensional, we demonstrate that Ostwald ripening is the predominate mechanism on the coarsening of particles in Fe-O-Al-Ca melt at early stage of deoxidation under the condition of no external stirring but not at later stage.

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“…TEM analysis was carried out using a JEOL transmission electron microscope equipped with an in-column Omega-type energy filter (JEM-2200FS, Joel, Japan). − MNCs at 9 g L –1 were diluted 10 times, and 5 μL of the solution was added onto a TEM grid (carbon film-supported copper grid, 200 meshes, Electron Microscopy Sciences, USA) until the solvent had completely evaporated. − …”

Section: Methodsmentioning

confidence: 99%

Ultrafast Determination of Antimicrobial Resistant Staphylococcus aureus Specifically Captured by Functionalized Magnetic Nanoclusters

et al. 2022

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Sepsis, the systemic response to infection, is a life-threatening situation for patients and leads to high mortality, especially when caused by antimicrobial resistant pathogens. Prompt diagnosis and identification of the pathogenic bacteria, including their antibiotic resistance, are highly desired to yield a timely decision for treatment. Here, we aim to develop a platform for rapid isolation and efficient identification of Staphylococcus aureus, the most frequently occurring pathogen in sepsis. A peptide (VPHNPGLISLQG, SA5-1), specifically binding to S. aureus, was conjugated to the PEGylated magnetic nanoclusters, successfully enabling the specific capture and enrichment of S. aureus from blood serum. Consequently, fast detection of the antimicrobial resistance of the collected S. aureus was achieved within 30 min using a novel luminescent probe. These magnetic nanoclusters manifest a promising diagnostic prospect to combat sepsis.

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Inclusions properties at 1673 K and room temperature with Ce addition in SS400 steel

Cited by 15 publications

References 21 publications

Assessment of plant species diversity based on hyperspectral indices at a fine scale

Assessment of plant species diversity based on hyperspectral indices at a fine scale

Nucleation and Ostwald Growth of Particles in Fe-O-Al-Ca Melt

Ultrafast Determination of Antimicrobial Resistant Staphylococcus aureus Specifically Captured by Functionalized Magnetic Nanoclusters

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