3D‐printed scaffolds loaded with healing directed agents could be employed for better treatment outcome in regenerative dentistry. The aim of this study was to fabricate and characterize simple 3D‐printed poly lactic acid (PLA) scaffolds coated with nanoHydroxyapatite (nHA), Naringin (NAR), or their combination, and testing their morphological, chemical, mechanical, antibacterial, biocompatible and bioactive properties. Methodology: Two variants pore sizes, 300 and 700 μm, of 3D‐printed PLA disc scaffolds measuring (10 × 1 mm) were fabricated. These scaffolds were dip‐coated with nHA, NAR, or both (nHA/NAR). Field emission scanning electron microscopy (FeSEM), energy‐dispersive X‐ray spectroscopy (EDX), Fourier transforms infrared (FTIR), compressive and flexural strength testing was employed for optimizing pore size. Then, antibacterial activity against isolated Streptococcus mutans and Enterococcus faecalis, and cytotoxicity against normal human fibroblast were assessed. Additionally, appetite formation on scaffold surfaces was assessed after storage in simulated body fluid (SBF) for 14 days by further using FeSEM, EDX and XRD. Results: FeSEM showed uniform structure for 3D‐printed scaffolds in both pore size designs, and a consistent surface coating with nHA and NAR, which were further confirmed by EDX and FTIR. However, mechanical testing revealed statistical significant higher compressive and flexural strengths for 300 μm pore size scaffolds. Statistical significant antibacterial activities (
We present the concept of maps Γ- periodi2 on Γ -near-ring S. Our main goal is to research and explore the presence and mapping traits such as h Γ –hom anti-Γ –hom, Γ –α-derivations of Γ -periodi2 on Γ- near-rings.
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This investigation aimed to explain the mechanism of MFCA by applying this method on air-cooled engine factory which was suffering from high production cost. The results of this study revealed that MFCA is a useful tool to identify losses and inefficiencies of the production process. It is found that the factory is suffering from high losses due to material energy and system losses. In conclusion, it is calculated that system losses are the highest among all the losses due to inefficient use of available production capacity.
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As a reservoir is depleted due to production, pore pressure decreases leading to increased effective stress which causes a reduction in permeability, porosity, and possible pore collapse or compaction. Permeability is a key factor in tight reservoir development; therefore, understanding the loss of permeability in these reservoirs due to depletion is vital for effective reservoir management. The paper presents a case history on a tight carbonate reservoir in Iraq which demonstrates the behavior of rock permeability and porosity as a function of increasing effective stress simulating a depleting mode over given production time. The experimental results show unique models for the decline of permeability and porosity as function effective str
... Show MoreObjectives: To evaluate the incidence of adhesions
induced intestinal obstruction after explorative laparotomy
due to bullet/shell injury in Al-Kindi teaching
hospital/Baghdad.
Results: Thirty-six out of the 76 cases with adhesions
induced intestinal obstruction (A.I.I.O.) had history of
laparotomy for penetrating missile injury, 26 of them were
explored as a method of management of A.I.I.O. with
mean age (22 for those explored, ٣٧ for those treated
conservatively), 16 of them presented within a year or less
from the previous surgery.
Methods: Comparative interventional prospective study of
cases with adhesions induced intestinal obstruction
admitted to the surgical wards in Al-Kindi teaching
h
BOOK REVIEW
KE Sharquie, AA Noaimi, EA Al-Janabi…, Journal of Cosmetics, Dermatological Sciences and Applications, 2013 - Cited by 13
This study is dedicated to solving multicollinearity problem for the general linear model by using Ridge regression method. The basic formulation of this method and suggested forms for Ridge parameter is applied to the Gross Domestic Product data in Iraq. This data has normal distribution. The best linear regression model is obtained after solving multicollinearity problem with the suggesting of 10 k value.
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