Age and BMI may be used to diagnosis of thyroid autoimmune disease. One hundred Iraqi women with age ranged from 18 to 60 years participate in this research, 50 of them were hypothyroidism patients, 30 were hyperthyroidism patients and the other 20 were euthyroidism served as controls. Blood samples were collected from the studied subjects to determine thyroid profile [free triiodothyronine (FT3), free tetraiodothyronine (FT4) and thyroid stimulating hormone (TSH)], thyroid antibodies [anti-thyroid peroxidase (anti-TPO), anti-thyroglobulin (anti-Tg), and anti-thyroid stimulating hormone receptor (anti-TSHR)], and levels of vitamin D (vit D), calcium (Ca), and phosphorus (P) using different analysis techniques. When the effect of age on the studied parameters was investigated, the findings of hyperthyroidism revealed a significant (P<0.05) decrease in levels of FT4, anti-TPO, anti-TG, vit D, and Ca with increase of age. The findings of hypothyroidism revealed a significant (P<0.05) increase in levels of TSH, anti-TPO, and anti-TG with progress of age; while a significant (P<0.05) decrease was found in levels of anti-TSHR, vit D, and Ca with progress of age. The findings of euthyroidism revealed a significant (P<0.05) increase in levels of TSH and anti-TG with progress of age. Also, a high significant (P<0.01) increase was found in levels of anti-TPO and anti-TSHR with progress of age. While a significant (P<0.05) decrease was found in levels of vit D with progress of age. On the other hand, when the effect of BMI on the studied parameters was investigated, the results of hyperthyroidism revealed a high significant (P<0.01) decrease in level of TSH with increase of BMI value. Also, levels of anti-TSHR, Ca, and P decreased significantly (P<0.05) with increase of BMI value. In hypothyroidism, the results showed a high significant (P<0.01) increase in levels of TSH, anti-TPO, and anti-TG with increase of BMI value; while levels of anti-TSHR, Ca, and P decreased significantly (P<0.05) with increase of BMI value. Conclusion: Both of age and body mass index affect on levels of thyroid hormones and thyroid autoantibodied in patients with thyroid disorders (hyperthyroidism and hypothyroidism).
This study employs evolutionary optimization and Artificial Intelligence algorithms to determine an individual’s age using a single-faced image as the basis for the identification process. Additionally, we used the WIKI dataset, widely considered the most comprehensive collection of facial images to date, including descriptions of age and gender attributes. However, estimating age from facial images is a recent topic of study, even though much research has been undertaken on establishing chronological age from facial photographs. Retrained artificial neural networks are used for classification after applying reprocessing and optimization techniques to achieve this goal. It is possible that the difficulty of determining age could be reduce
... Show MoreBackground: The purpose of this study was to evaluate the effect of addition of surface treated silicon dioxide Nano filler (SiO2) on some properties of heat cured acrylic resin denture base material (PMMA). The properties were impact strength, transvers strength, and surface hardness. Materials and methods: In addition to controlled group SiO2 powder was added to PMMA powder by weight in three different percentages 3%, 5% and 7%, mixed by probe ultra-sonication machine.120 specimens were constructed and divided into 3 groups according to the test (each group consist of 40 specimens) and each group was subdivided into 4 sub-groups according to the percentage of added SiO2 (finally each subgroup consist of 10 specimens). The tests conducte
... Show MoreIntended for getting good estimates with more accurate results, we must choose the appropriate method of estimation. Most of the equations in classical methods are linear equations and finding analytical solutions to such equations is very difficult. Some estimators are inefficient because of problems in solving these equations. In this paper, we will estimate the survival function of censored data by using one of the most important artificial intelligence algorithms that is called the genetic algorithm to get optimal estimates for parameters Weibull distribution with two parameters. This leads to optimal estimates of the survival function. The genetic algorithm is employed in the method of moment, the least squares method and the weighted
... Show MoreWhich children infected with physical growth retardation at childhood it will be the largest problems effecting the child and his parents together. So , at the period of early childhood, there must be a state of satisfactions of need because if they didn’t satisfied it will be very hard to be satisfied or replaced at another period because it will be busy with satisfaction of another need of new period, and even it will be satisfactions it still weak and didn’t be am efficient as the matter of if it be satisfied at the exact time Looking at physical growth and its indicators as length and weight and making a comparison with world indicators at peer age phases helps in spe
... Show MoreThe aim of this research is to study the effect of welded joint design (Butt joint and lap joint) on thejoint strength during tension and fatigue loading with different current of welding (40,50,60,70,80) ^per, and different type of wire welding. The result of this research is showed that the effect of fatigue loading on the type of joint is more than the effect of tension loading on it. And the butt joint welding is better than the lap joint welding during the fatigue loaded.The experimental results of the effect of W'elding current showed that more increasing and more decreasing the value of the heat input, during the welding was found to produce mechanical brittleness on the buttjoint welding during the static and dynamic loading. Also i
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