Chronic kidney Failure, a progressive disease, includes both medical and biochemical features that damage kidneys and decrease their abilities to work effectively, this disease is characterized by a chronic disorders to both the innate and adaptive immune systems, generate a complex and not fully understood immune dysfunction. In the present study, (30) men suffering from chronic kidney failure with age in range (40-55) year and (30) healthy men within the same range of age were enrolled in this study. The aim of this study is to highlight the role of immunological aspect (IL-35), hormonal aspects (PTH), some functional proteins and immunological electrolytes in sera of chronic kidney failure (CKF) patients. Biochemical parameters were determined in the sera of both patients and (healthy) control group. Patients enrolled in this study were newly diagnosed, they have not taken any treatment related to any chronic disease. Blood samples were collected and biochemical parameters were measured in Al- Karama teaching hospital in Baghdad (except IL-35 which was determined in the private Al-Ghazalia Laboratory) from April to November 2015. Results have reported that IL-35 level was highly significant increase in sera of chronic kidney failure patients (35.035± 0.025) pg/mL compared with healthy group (23.331±0.031) pg/mL. As well, PTH level was highly significant increased in patients group (235.032±3.841) pg/ml compared with healthy control group (49.96±0.308) pg/mL. Hemoglobin level was highly significant decreased ( 9.696±0.056) g/L in patients with control group (15.332±0.067) g/dL. Determination of IL-35, PTH, Ferritin and Other biochemical. Parameters in sera of Iraqi Men with chronic kidney failure Rasha Zuhair Jasim and Samira Muajed Yaseen 58 Vol: 13 No:2 , April 2017 DOI: http://dx.doi.org/10.24237/djps.1302.151B P-ISSN: 2222-8373 E-ISSN: 2518-9255 Also, ferritin level was highly significant decreased in chronic kidney failure patients (164.0.68±7.818) ng/mL compared with control group (313.56±1.874) ng/mL. Moreover, albumin level was highly significant decreased (3.00±0.020) g/dL in patients compared with control group (4.928±0.039)g/dL. Bicarbonate level was highly significant decreased (17.412±0.117) mmol/L in patients compared with control group (25.044±0.072) mmol/L, sodium level was non significantly increased in patients (138.65±0.288) meq/L compared with control group (135.84±0.144) meq/L, potassium level was highly significant increased in patients group (5.420±0.0186) meq/L compared with healthy control group (4.700±0.113)meq/L, calcium level was highly significant decreased in patients (7.464±0.054) mmol/L compared with control group (9.628±0.614) mmol/L, phosphate level was significantly increased in patients (4.891±0.016) mg/dL compared with control group (4.552±0.014) mg/dL. The present study concludes that IL-35 is a strong biochemical marker for Iraqi men with CKF. Moreover, this study indicated the positive relationship between (PTH, Na+ , K+ , PO4 2- ) and chronic kidney failure, and the negative relationship between (Ferritin, albumin, hemoglobin, HCO3 - ) and chronic kidney failure in Iraq.
An atomic force microscope (AFM) technique is utilized to investigate the polystyrene (PS) impact upon the morphological properties of the outer as well as inner surface of poly vinyl chloride (PVC) porous fibers. Noticeable a new shape of the nodules at the outer and inner surfaces, namely "Crater nodules", has been observed. The fibers surface images have seen to be regular nodular texture at the skin of the inner and outer surfaces at low PS content. At PS content of 6 wt.%, the nodules structure was varied from Crater shape to stripe. While with increasing of PS content, the pore density reduces as a result of increasing the size of the pore at the fiber surface. Moreover, the test of 3D-AFM images shows that the roughness of both su
... Show MoreObjective(s): Assess the effectiveness of osteoporosis prevention instruction program on nursing college students’
knowledge at Baghdad University.
Methodology: A quasi-experimental design was used to assess the effectiveness of osteoporosis prevention
instruction program on nursing college students at University of Baghdad from April 2011 to September 2011. A
random sample consisted of (40) females students from first year of Nursing College \ Baghdad University. The data
was collected by using constructed questionnaire, which consists of three parts. Part one: consists of demographic
information and health characteristics .Part two: consists of students’ daily life behaviors which include, dietary
behaviors, an
The dynamic behavior of laced reinforced concrete (LRC) T‐beams could give high‐energy absorption capabilities without significantly affecting the cost, which was offered through a combination of high strength and ductile response. In this paper, LRC T‐beams, composed of inclined continuous reinforcement on each side of the beam, were investigated to maintain high deformations as predicted in blast resistance. The beams were tested under four‐point loading to create pure bending zones and obtain the ultimate flexural capacities. Transverse reinforcement using lacing reinforcement and conventional vertical stirrups were compared in terms of deformation, strain, and toughness changes of the tes
The consumption of dried bananas has increased because they contain essential nutrients. In order to preserve bananas for a longer period, a drying process is carried out, which makes them a light snack that does not spoil quickly. On the other hand, machine learning algorithms can be used to predict the sweetness of dried bananas. The article aimed to study the effect of different drying times (6, 8, and 10 hours) using an air dryer on some physical and chemical characteristics of bananas, including CIE-L*a*b, water content, carbohydrates, and sweetness. Also predicting the sweetness of dried bananas based on the CIE-L*a*b ratios using machine learn- ing algorithms RF, SVM, LDA, KNN, and CART. The results showed that increasing the drying
... Show MoreTwitter data analysis is an emerging field of research that utilizes data collected from Twitter to address many issues such as disaster response, sentiment analysis, and demographic studies. The success of data analysis relies on collecting accurate and representative data of the studied group or phenomena to get the best results. Various twitter analysis applications rely on collecting the locations of the users sending the tweets, but this information is not always available. There are several attempts at estimating location based aspects of a tweet. However, there is a lack of attempts on investigating the data collection methods that are focused on location. In this paper, we investigate the two methods for obtaining location-based dat
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