scholarly journals Microfluidic pore model study of precipitates induced by the pore-scale mixing of an iron sulfate solution with simulated groundwater

Chemosphere ◽  
2021 ◽  
Vol 271 ◽  
pp. 129857
Author(s):  
Saerom Park ◽  
Theresia May Anggraini ◽  
Jaeshik Chung ◽  
Peter K. Kang ◽  
Seunghak Lee
2008 ◽  
Vol 2008 ◽  
pp. 1-4 ◽  
Author(s):  
Baoyu Zong ◽  
Guchang Han ◽  
Jinjun Qiu ◽  
Zaibing Guo ◽  
Li Wang ◽  
...  

A methodology to fabricate ultrasoft CoFe nano-/microfilms directly via electrodeposition from a semineutral iron sulfate solution is demonstrated. Using boron-reducer as the additive, the CoFe films become very soft with high magnetic moment. Typically, the film coercivity in the easy and hard axes is 6.5 and 2.5 Oersted, respectively, with a saturation polarization up to an average of 2.45 Tesla. Despite the softness, these shining and smooth films still display a high-anisotropic field of ~45 Oersted with permeability up to 104. This kind of films can potentially be used in current and future magnetic recording systems as well as microelectronic and biotechnological devices.


2014 ◽  
Vol 35 (3) ◽  
pp. 144-157 ◽  
Author(s):  
Martin Bäckström ◽  
Fredrik Björklund

The difference between evaluatively loaded and evaluatively neutralized five-factor inventory items was used to create new variables, one for each factor in the five-factor model. Study 1 showed that these variables can be represented in terms of a general evaluative factor which is related to social desirability measures and indicated that the factor may equally well be represented as separate from the Big Five as superordinate to them. Study 2 revealed an evaluative factor in self-ratings and peer ratings of the Big Five, but the evaluative factor in self-reports did not correlate with such a factor in ratings by peers. In Study 3 the evaluative factor contributed above the Big Five in predicting work performance, indicating a substance component. The results are discussed in relation to measurement issues and self-serving biases.


Author(s):  
Paul SAPIN ◽  
Paul Duru ◽  
Florian Fichot ◽  
Marc Prat ◽  
Michel Quintard

2017 ◽  
Author(s):  
Pu He ◽  
Li Chen ◽  
Yu-Tong Mu ◽  
Wen-Quan Tao

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