Effect of Heat Treatment on Nanoparticle Size and Oxygen Reduction Reaction Activity for Carbon-Supported Pd–Fe Alloy Electrocatalysts
Essam Fadl Abo Zeid,
Yong Tae Kim
Issue:
Volume 3, Issue 4, July 2015
Pages:
71-77
Received:
11 May 2015
Accepted:
29 May 2015
Published:
12 June 2015
DOI:
10.11648/j.nano.20150304.11
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Abstract: The synthesized carbon-supported Pd-Fe alloy electrocatalysts were characterized for the purpose of the fuel cell cathode oxygen reduction reaction (ORR). The synthesized catalysts were characterized in terms of structural morphology and catalytic activity by XRD and electrochemical measurements. Surface cyclic voltammetry was used to confirm the formation of the Pd–Fe alloy. The catalysts were heat-treated at temperatures ranging from 300 ◦C to 700 ◦C for different aging times, in order to improve activity and stability. The average particle size of 10.16 nm, and the highest ORR catalytic activity were obtained at the optimal heat-treatment temperature 300 ◦C for 3h.
Abstract: The synthesized carbon-supported Pd-Fe alloy electrocatalysts were characterized for the purpose of the fuel cell cathode oxygen reduction reaction (ORR). The synthesized catalysts were characterized in terms of structural morphology and catalytic activity by XRD and electrochemical measurements. Surface cyclic voltammetry was used to confirm the f...
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A New Approach to Image Segmentation Mammogram
Mohammed Rmili,
Abdellatif Siwane,
Fatiha Adnani,
Fatiha Essodegui,
Abdelmajid El Moutaouakkil
Issue:
Volume 3, Issue 4, July 2015
Pages:
78-81
Received:
19 June 2015
Accepted:
7 July 2015
Published:
17 July 2015
DOI:
10.11648/j.nano.20150304.12
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Views:
Abstract: Breast cancer continues to be one of the main causes of death among women. Various studies have confirmed that the early detection of sub-clinical cancers may improve the prognosis. X-ray mammography in this case is the best diagnostic technique. It’s based on the interaction of a cone beam X-ray with the mole tissue. The projection image obtained can be analyzed qualitatively by the radiologists. But, an automatic treatment and quantitative analysis of this kind of images is suitable. For this reason several studies are conducted to develop tools to help with diagnosis of this disease (CAD: Computer-Assisted Diagnosis). We propose in this paper a new method to segment mammographic images based partly on a pyramidal architecture. The original image is fragmented (quadtree) initially to homogeneous regions. Each region is then associated with a peak of graph. It gathers data within homogeneous groups named regions classes’ c, then we use HCA (Hierarchical classification ascendant) and k-means to find the optimal partition for the largest possible value of c at the initial stage. This technique gives good results, and allows calculating morphological parameters of the breast cancer.
Abstract: Breast cancer continues to be one of the main causes of death among women. Various studies have confirmed that the early detection of sub-clinical cancers may improve the prognosis. X-ray mammography in this case is the best diagnostic technique. It’s based on the interaction of a cone beam X-ray with the mole tissue. The projection image obtained ...
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