Results 161 to 170 of about 1,080,717 (210)

Microstructure-Machinability correlation in heat treated AISI 1040 steel: Comparative analysis of tool life and surface roughness. [PDF]

PLoS One
Poojary UR, Hegde A, Hegde S, Mahale RS.
europepmc   +1 more source

Efficacy, Safety, and Hematologic Recovery Following Intravenous Ferric Carboxymaltose in Patients with Iron Malabsorption-Related Iron Deficiency Anemia: A Prospective Clinical Study. [PDF]

Nutrients
Scalamonti S, Pivetta G, Schiavone FP, Magnante M, Pompili M, Vavallo M, Annibale B, Lahner E.   +7 more
europepmc   +1 more source

Improved conductive carbon nanotube tape using natural cellulose fibrils for array tomography. [PDF]

Appl Microsc
Jung M, Choi H, Lee CK, Mun JY.
europepmc   +1 more source

Virtual SEM 1.2 - Training in SEM

Proceedings, annual meeting, Electron Microscopy Society of America, 1996
The greatest barrier to effective training in electron microscopy is the initial apprehension within students based on the complexity and cost of the instrumentation. A second, and today more real barrier, is the actual cost of hands-on training in courses, in terms of both instrument and staff resources.
B.J. Griffin, A. van Riessen
openaire   +1 more source

Combination of cryo-SEM and WET-SEM

Proceedings, annual meeting, Electron Microscopy Society of America, 1987
WET-SEM is a version of commercially available SEM equipped with Robinson's type of wide-angle backscattered electron detector to observe wet samples under low vacuum(0.3-0.5 torr) and it has been used to variable biological samples with or without chemical fixation. Its versatility to observe hydrated specimens without any metalic coating is obviously
Takashi Makita, Kazumi Hirabara, Haruko Hirose   +2 more
openaire   +1 more source

SEM

2020
for Tasaka et al. (JGR 2020)
  +6 more sources

SEM

2021
The aim of this chapter is to test the hypothesis that the two-step structural equation modelling (SEM) and artificial neural network (ANN) approach enables better in-depth research results as compared to the single-step SEM approach. This approach was used to determine which factors have statistically significant influence on customer satisfaction and
  +4 more sources