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Institution

Celal Bayar University

EducationMagnesia ad Sipylum, Turkey
About: Celal Bayar University is a education organization based out in Magnesia ad Sipylum, Turkey. It is known for research contribution in the topics: Population & Heat transfer. The organization has 2960 authors who have published 6024 publications receiving 100646 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, wear behaviours of 2024 aluminium wrought alloy were investigated in different tribological conditions based on its ageing conditions, and the effects of different sliding speeds and loads on wear resistance were also examined.

61 citations

Journal ArticleDOI
TL;DR: In this article, the Arbitrary-Lagrangian-Eulerian method is used to describe the fluid motion with the flexible side walls of the cavity in the fluid-structure interaction model.

61 citations

Journal ArticleDOI
TL;DR: Results showed that more stringent measures must be taken for the prevention of mold contamination in the production of organic spices and herbs.
Abstract: Organically produced spices and herbs were analyzed for determination of aflatoxin B1 (AFB1) by ELISA using immunoaffinity column. For this purpose 93 organic spices and 37 organic herbs were randomly selected from organic markets and organic shops in Turkey. AFB1 was detected in 58 organic spice and 32 organic herb samples. Among organic spice samples, the maximum value was detected in cinnamon sample (53 μg/kg). AFB1 was not detected in thyme samples. AFB1 levels of 41 organic spice samples were above the EU regulatory limit (5 μg/kg). Among organic herb samples the highest concentration of AFB1 (52.5 μg/kg) was detected in a rosehip sample. AFB1 levels of 21 organic herb samples were above the regulatory limits of the European Union. These results showed that more stringent measures must be taken for the prevention of mold contamination in the production of organic spices and herbs.

61 citations

Journal ArticleDOI
TL;DR: In this paper, a linear relationship was established between the logarithm soil suction and the swell pressure, which revealed a simple regression equation for a quick prediction of soil suctions from easily determined soil properties.

61 citations


Authors

Showing all 3053 results

NameH-indexPapersCitations
Michael Berk116128457743
G. Raven114187971839
Tjeerd Ketel99106746335
Francesco Dettori95102641313
Manuel Schiller95100441734
John A. McGrath7563124078
E. Pesen5020610958
Devendra Singh4931410386
Fatih Selimefendigil431784522
Mehmet Karabacak401113515
Nurullah Akkoc381937626
Daiana Stolz382397708
Menemşe Gümüşderelioğlu341363328
Mehmet Sezer341843543
Mehmet Pakdemirli331373581
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202332
2022100
2021512
2020485
2019372
2018359