Background: Osteoarthritis is the most common joint disorder. Treatment is usually limited to short term symptom relived and is by no means satisfactory.
Recent developments in two main phases of cumulus cloud studies are discussed; first the relations between the clouds and their energy sources in the subcloud layer and second, the interaction between the clouds and their environment in the cloud layer. Under the first heading, the various originating impulses for cumulus formation are mentionitd. and how the character of this impulse affects the spacing, scale and temperature structure of the clouds. The possible origins of trade cumuli are considered.
In this research The study of Multi-level model (partial pooling model) we consider The partial pooling model which is one Multi-level models and one of the Most important models and extensive use and application in the analysis of the data .This Model characterized by the fact that the treatments take hierarchical or structural Form, in this partial pooling models, Full Maximum likelihood FML was used to estimated parameters of partial pooling models (fixed and random ), comparison between the preference of these Models, The application was on the Suspended Dust data in Iraq, The data were for four and a half years .Eight stations were selected randomly among the stations in Iraq. We use Akaik′s Informa
... Show MoreIn this research The study of Multi-level model (partial pooling model) we consider The partial pooling model which is one Multi-level models and one of the Most important models and extensive use and application in the analysis of the data .This Model characterized by the fact that the treatments take hierarchical or structural Form, in this partial pooling models, Full Maximum likelihood FML was used to estimated parameters of partial pooling models (fixed and random ), comparison between the preference of these Models, The application was on the Suspended Dust data in Iraq, The data were for four and a half years .Eight stations were selected randomly among the stations in Iraq. We use Akaik′s Informa
... Show MoreFibromyalgia (FM) is a common, debilitating, and chronic pain syndrome. The women are more likely to have more tender points on examination than are their male counterparts. Iraqi study showed that FM occur in 1.5% among adolescents of Iraqi population. In compare to normal healthy women, present study was revealed that Iraqi women with FM have significant elevation of calcium (p = 0.003) with significant reduction of magnesium (p = 0.001), whereas the inorganic phosphorous was not differs (p = 0.31). In conclusion, magnesium and calcium would play a crucial role in etiopathogenesis of fibromyalgia.
Key words: calcium, magnesium, phosphorous, Fibromyalgia.
Background: Polycystic ovary syndrome (PCOS) is a common endocrinopathy in women of
reproductive age with primary features of infertility, menstrual irregularity, and clinical or biochemical
evidence of hyperandrogenism (hirsutism, acne and high androgen level). Vitamin D has a role in the
development of metabolic and endocrine abnormalities in PCOS mediated by insulin resistance.
Objective: Measure serum 25-hydroxy vitamin D levels in women with polycystic ovary syndrome and
compare their levels with age and body mass index matched healthy controls. Also, assess the
correlation between insulin resistance and 25-hydroxy vitamin D among women with PCOS.
Subjects and Methods: Eighty eight women were involved in this st
Background: Nephrotic syndrome is an immune mediated disorder of the kidney associated with T cell dysfunction and secondary disturbance of B cell with changes in levels of immunoglobulin.
Objectives: The objectives of this study were to compare immunoglobulin levels in children with nephrotic syndrome in relapse and healthy children, and to assess relationship between the degree of albuminuria and the mean concentrations of immunoglobulin.
Methods: We studied 60 children with nephrotic syndrome during January 2008 to January 2011 in the Pediatric Nephrology consultation clinic, Children Welfare Teaching Hospital –Baghdad Medical Complex –Iraq. Urine protein and blood samples were collected from the 60
This study was aimed to investigate the effects of Cuminum cyminum seed aqueous extract on the function and histological structure of rat kidney treated with dibutyl phthalate (DBP). Eighteen albino rats weighing 190-240g and aged 10-12 weeks were used for this study which went on for 28 days. The rats were divided into three groups (each with six animals): 1st group: control rats were given food and tap water, 2nd group was given DBP (420mg/Kg. B.W.) with tap water and diet, 3rd group were fed cumin plant orally at a daily dose of (200 mg/kg B.W.) and DBP (420mg/kg. B.W.) was given with drinking water and fed with diet daily. Kidney and liver function parameters were measured and hi
... Show MoreBackground: Free radicals have been implicated in many pathological processes, including ischemia, inflammation, and malignancy. The free radicals may affect tissues damage by lipid
peroxidation which generate malondialdehyde (MDA) as a by byproduct of the reaction. The objective of this study is to examine the dynamics of lipid peroxidation in patients with
thyroid disorders using the measurement of malondialdehyde level as a marker for the degree of thyroid disorder.
Methods: Two hundred and forty five subjects were enrolled in this study. Hundred and ninety five were patients with different thyroid disorders (88 yperthyroidism, 63 hypothyroidism and 44 thyroid carcinoma) the remaining 50 subjects were
The meniscus has a crucial function in human anatomy, and Magnetic Resonance Imaging (M.R.I.) plays an essential role in meniscus assessment. It is difficult to identify cartilage lesions using typical image processing approaches because the M.R.I. data is so diverse. An M.R.I. data sequence comprises numerous images, and the attributes area we are searching for may differ from each image in the series. Therefore, feature extraction gets more complicated, hence specifically, traditional image processing becomes very complex. In traditional image processing, a human tells a computer what should be there, but a deep learning (D.L.) algorithm extracts the features of what is already there automatically. The surface changes become valuable when
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