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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: A row of micrografts or minigrafts was inserted between the wound edges immediately after wound closure to prevent the conspicuousness of a visible scar on the hair-bearing skin, even after optimal wound conditions.
Abstract: A surgical incision after suturing usually leaves a visible scar on the hair-bearing skin, even after optimal wound conditions. The conspicuousness of such a scar results from its linear continuity and hairlessness. To prevent this effect, a row of micrografts or minigrafts was inserted between the wound edges immediately after wound closure. The hair grafts that were transplanted were dissected from the discharged skin in the same surgical procedure, if feasible. Otherwise, a mini donor strip was harvested from the mastoid scalp to dissect the hair grafts. The final linear scar was interrupted and concealed sufficiently with the growth of the transplanted hairs. Tension-free closure is required to obtain a satisfactory result with this technique.

40 citations

Journal ArticleDOI
TL;DR: The results confirm the efficacy of dimeticone 4% lotion against lice and eggs and it is believed that the high cure rate was related to the lower intensity of infestation in Turkey, together with the level of community engagement, compared with previous studies in the UK.
Abstract: Background: Dimeticone 4% lotion was shown to be an effective treatment for head louse infestation in two randomised controlled trials in England. It is not affected by insecticide resistance but efficacy obtained (70-75%) was lower than expected. This study was designed to evaluate efficacy of dimeticone 4% lotion in a geographically, socially, and culturally different setting, in rural Turkey and, in order to achieve blinding, it was compared with a potential alternative formulation. Methods: Children from two village schools were screened for head lice by detection combing. All infested students and family members could participate, giving access to treatment for the whole community. Two investigator applied treatments were given 7 days apart. Outcome was assessed by detection combing three times between treatments and twice the week following second treatment. Results: In the intention to treat group 35/36 treated using dimeticone 4% had no lice after the second treatment but there were two protocol violators giving 91.7% treatment success. The alternative product gave 30/36 (83.3%) treatment success, a difference of 8.4% (95% CI -9.8% to 26.2%). The cure rates per-protocol were 33/34 (97.1%) and 30/35 (85.7%) respectively. We were unable to find any newly emerged louse nymphs on 77.8% of dimeticone 4% treated participants or on 66.7% of those treated with the alternative formulation. No adverse events were identified. Conclusion: Our results confirm the efficacy of dimeticone 4% lotion against lice and eggs and we found no detectable difference between this product and dimeticone 4% lotion with nerolidol 2% added. We believe that the high cure rate was related to the lower intensity of infestation in Turkey, together with the level of community engagement, compared with previous studies in the UK.

40 citations

Journal ArticleDOI
TL;DR: In this paper, the effects of precipitation pH, solid content, slurry feed rate, atomization pressure, hot air temperature and hot air flow rate on the particle size distribution of SD-HA were investigated.

40 citations

Journal ArticleDOI
TL;DR: In this article, a mixed convection of an oscillating lid-driven cavity filled with nanofluid under the influence of an inclined uniform magnetic field was numerically investigated, where the cavity is heated from below and cooled from above while side walls are assumed to be adiabatic.
Abstract: In this study, mixed convection of an oscillating lid-driven cavity filled with nanofluid under the influence of an inclined uniform magnetic field was numerically investigated. The cavity is heated from below and cooled from above while side walls are assumed to be adiabatic. The top wall velocity varies sinusoidally while no-slip boundary conditions are imposed on the other walls of the cavity. The governing equations was solved by Galerkin weighted residual finite element formulation. The numerical investigation was performed for a range of parameters: Richardson number ( 10 − 1 ≤ Ri ≤ 10 2 ), Hartmann number (0 ≤ Ha ≤ 60), inclination angle of the magnetic field (0 ≤ γ ≤ 90°), non-dimensional frequency of the oscillating lid (0.001 ≤ St ≤ 1) and solid volume fraction of the nanoparticle (0 ≤ ϕ ≤ 0.04). It is observed that the flow and thermal patterns within the cavity are affected by the variation of these parameters. The heat transfer process becomes inefficient for high Strouhal number, high Hartmann number and high Richardson number. Maximum enhancement of averaged heat transfer and the damping of the convection within the cavity due to the Lorentz forces caused by magnetic field are attained for magnetic inclination angles of γ = 90 ∘ and γ = 60 ∘ . As the solid volume fraction of nanoparticles increases averaged heat transfer enhancement of 28.96% is obtained for volume fraction of ϕ = 0.04 compared to base fluid.

39 citations

Journal ArticleDOI
TL;DR: In this paper, the impact behavior of reinforced concrete (RC) slabs under static and dynamic loadings was evaluated using a drop-weight test machine designed by the authors, where the impact load was applied to slabs using a moveable drop weight test machine to determine impact behaviour of two way simply supported RC slabs strengthened with CFRP strips.

39 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
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202332
2022100
2021512
2020485
2019372
2018359