Background: The nail organ has an important functional and aesthetic importance. Nail Growth Rate (NGR) has attracted the attention of many investigators not only due to the importance of the nail apparatus but also as a tool to reflect health.
Objective: To study the effects of smoking and age on nail growth.
Patients and methods:The study was conducted at the Department of Physiology and the Department of Dermatology, College of Medicine, University of Baghdad during the period from January 2011 to May 2011.
Nail growth measurement was performed by etching a T – mark on the nail plate of the right and the left thumbs with a wide bore needle. The vertical distance between the point of meeting of the T and the proximal nail fold was measured using (vernier). A second measurement was performed one month later. The difference between the 2 readings was divided by the number of days between the readings to give the NGR.
Results:The NGR was measured in a total of 106 subjects. The subjects were divided into 3 groups:
Group1 (Smoker male subjects): 23 subjects were included in this group. Their ages ranged between 20 and 59 years with a mean of 35.87 +11.72 years. Group 2 (Non-smoker male subjects): 34 subjects were included. Their ages ranged between 13 and 52 years with a mean of 31.76 + 10.16 years.Group 3 (Non-smoker female subjects): 49 subjects were included. Their ages ranged between 8 and 58 years with a mean of 27.49 +11.66 years. NGR measurement in:
Group 1:The mean growth rate in the right thumb was 95.4 + 28.8 microns/day, and for the left thumb was 96 + 34 microns/day.
Group 2:The NGR was 105.6 + 34.35, and 103.4 + 34.24 microns /day, for the right thumb and the left thumb respectively. .
Group 3: The NGR was 100 .5 + 33.52 microns/day for the right thumb and 101.6 + 31.77 microns /day for the left thumb.
Conclusion: Age was inversely correlated with nail growth in right and left thumbs in all groups. The duration of smoking and number of cigarettes was inversely related to nail growth, but it did not reach statistical significance.
The aim of this work is to detect the best operating conditions that effect on the removal of Cu2+, Zn2+, and Ni2+ ions from aqueous solution using date pits in the batch adsorption experiments. The results have shown that the Al-zahdi Iraqi date pits demonstrated more efficient at certain values of operating conditions of adsorbent doses of 0.12 g/ml of aqueous solution, adsorption time 72 h, pH solution 5.5 ±0.2, shaking speed 300 rpm, and smallest adsorbent particle size needed for removal of metals. At the same time the particle size of date pits has a little effect on the adsorption at low initial concentration of heavy metals. The adsorption of metals increases with increas
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... Show MoreThe reaction of methyldopa with o-vanillin in refluxing ethanol afforded Schiff base and characterized through physical analysis with a number of spectra also the study of biological activity. The geometry of the Schiff base was identified through using (C.H.N) analysis, Mass, 1H-NMR, FT-IR, UV-Vis spectroscopy. Metal complexes of Cr3+, Mn2+, Co2+, Ni2+, Cu2+, Zn2+, Cd2+ and Hg2+ with Schiff base have been prepared in the molar ratio 2:1 (Metal:L), (L = Schiff base ligand) except Hg2+ at molar ratio 1:1 (Hg:L). The prepared complexes were characterized by using Mass, FT-IR and UV-Vis spectral studies, on other than magnetic properties and flame atomic absorption, conductivity measurements. According to the results a dinuclear octahedral geo
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The effective insulation design of the stress grading (SG) system in form-wound stator coils is essential for preventing partial discharges and excessive heat generation under pulse-width modulation excitation. This paper proposes a method to find the optimal insulation design of the SG system aimed at reducing the dielectric and thermal stresses in the machine coil. The non-uniform transmission line model is used to predict the voltage propagation along the overhang, SG, and slot regions considering the variation in the physical properties of the insulation layers. The machine coil parameters for different insulation materials are calculated by using the finite element method. Two optimization algorithms, fmincon and particle swarm optimiz
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