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Serum Aldosterone Levels in Patients With Diabetic Nephropathy in Relation to Vascular Calcification
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Diabetic Nephropathy(DN) is a complex disease manifested by persistence microalbuminuria   occurring due to the interaction between hemodynamic and metabolic pathway that activates the local renin-angiotensin-aldosterone system resulting in a decline in renal functions.

This study aimed to quantify the associations between serum aldosterone concentration and fetuin- A as a marker of calcification in type 2 diabetic patients with and without microalbuminuria from one side, and study the possible relationship between aldosterone and fetuin-A with glycemic indices, serum electrolyte, renal function and microalbuminuria and body mass index from the other side.

A case-control study involved eighty-six adult subjects classified into three groups after testing urine microalbumin including thirty-two diabetics type 2 patients with positive microalbuminuria and twenty-eight diabetics type 2 patients with negative microalbuminuria and 26 healthy subjects during their visit to AL kindy specialized Center for Endocrinology and Diabetes / Baghdad. Those patients were compared to control group of 26 apparently healthy subjects, fasting blood samples was obtained from each of them in one occasion only to measure: fasting serum glucose, electrolyte, aldosterone,  fetuin-A, urea, and creatinine. In addition to glycoheamoglobin, glomerular filtration rate and body mass index.

Despite the presence of microalbuminuria in  thirty-two of the studied diabetics, there was no positive correlation between aldosterone and fetuin- A, besides that no significant variations in serum aldosterone ,glomerular filtration rate(GFR) values, while both groups showed a significant increase in fasting serum glucose and glycaoheamoglobin ,significant decrease in serum sodium and chloride in comparison with the control group , significant increase was detected  in serum fetuin-A mean  values in microalbuminuric diabetics. Whereas, negative microalbuminuric diabetics measures expressed a positive correlation between both serum sodium and chloride levels and fetuin -A.

The conclusion of this study diabetic patient are prone to vascular calcification
(VC)  might be due to increase in aldosterone level or due to diabetic itself  from this study we can conclude microalbuminuria can occur without a decline in renal function or a change in estimated GFR ,no definite correlation occur between aldosterone and fetuin- A, fetuin- A mean values are higher in diabetic patient with microalbuminuria compared to diabetic patients without microalbuminuria and control group and this referred to uncontrolled diabetes ,aldosterone show a correlation with  weight and body mass index while fetuin- A does not show  such correlation.

In general, electrolyte disturbances (hypernatremia) is more obvious in this study  , and its occurrence is due to diabetic (osmotic diuresis) or drugs, while sodium retention which is a sign of aldosterone increment does not occur.  Hypochloremia that occur in this study is due to chloride and it is in parallel with sodium level.

 

 

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Publication Date
Sun Sep 01 2024
Journal Name
Inorganic Chemistry Communications
Investigation of optical, mechanical, thermal, wettability, and antibacterial activity of polyvinyl alcohol mixed with clay nanoparticles
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Publication Date
Sun Oct 01 2023
Journal Name
Baghdad Science Journal
Synthesis and Study of the Antimicrobial Activity of Modified Polyvinyl Alcohol Films Incorporated with Silver Nanoparticles
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       A new class of biologically active nanocomposites and modified polymers based on poly (vinyl alcohol) (PVA) with some organic compounds [II, IV, V and VI] were synthesized using silver nanoparticles (Ag-NPs). All compounds were synthesized using nucleophilic substitution interactions and characterized by FTIR, DSC and TGA. The biological activity of the modified polymers was evaluated against: gram (+) (staphylococcus aureus) and gram (-): (Es cherichia coli bacteria). Antimicrobial films are developed based on modified poly (vinyl alcohol) MPVA and Ag-NPs nanoparticles. The nanocomposites and modified polymers showed better antibacterial activities against Escherichia coli (Gram negative) than against Staphyloc

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Publication Date
Thu May 12 2016
Journal Name
Journal Of Biosciences
Dictyostelium discoideum RabS and Rab2 colocalize with the Golgi and contractile vacuole system and regulate osmoregulation
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Publication Date
Fri Feb 09 2024
Journal Name
Sustainability
Enhancing Asphalt Performance and Its Long-Term Sustainability with Nano Calcium Carbonate and Nano Hydrated Lime
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Nanomaterials enhance the performance of both asphalt binders and asphalt mixtures. They also improve asphalt durability, which reduces resource consumption and environmental impact in the long term associated with the production and transportation of asphalt materials. Thus, this paper studies the effectiveness of Nano Calcium Carbonate (Nano CaCO3) and Nano Hydrated Lime (NHL) as modifiers and examines their impact on ranges from 0% to 10% through comprehensive laboratory tests. Softening point, penetration, storage stability, viscosity, and mass loss due to short-term aging using the Rolling Thin Film Oven Test (RTFO) were performed on asphalt binders. Results indicated a significant improvement in binder stiffness, particularly

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Publication Date
Wed Jan 26 2022
Journal Name
Nanomaterials
Improved Melting of Latent Heat Storage Using Fin Arrays with Non-Uniform Dimensions and Distinct Patterns
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Employing phase-change materials (PCM) is considered a very efficient and cost-effective option for addressing the mismatch between the energy supply and the demand. The high storage density, little temperature degradation, and ease of material processing register the PCM as a key candidate for the thermal energy storage system. However, the sluggish response rates during their melting and solidification processes limit their applications and consequently require the inclusion of heat transfer enhancers. This research aims to investigate the potential enhancement of circular fins on intensifying the PCM thermal response in a vertical triple-tube casing. Fin arrays of non-uniform dimensions and distinct distribution patterns were des

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Publication Date
Sun Jun 12 2011
Journal Name
Baghdad Science Journal
The optical properties of Poly methyl methacrylate (PMMA) polymers doped by Potassium Iodide with different thickness
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Films of pure Poly (methyl methacrylate) (PMMA) doped by potassium iodide (KI) salt with percentages (1%) at different thickness prepared by casting method at room temperature. In order to study the effect of increasing thickness on optical properties, transmission and absorption spectra have been record for five different thicknesses(80,140,210,250,320)µm. The study has been extended to include the changes in the band gap energies, refractive index, extinction coefficient and absorption coefficient with thickness.

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Publication Date
Thu May 02 2013
Journal Name
Journal Of Engineering
Experimental and numerical analysis of piled raft foundation with different length of piles under static loads
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In order to understand the effect of (length of pile / diameter of pile) ratio on the load carrying capacity and settlement reduction behavior of piled raft resting on loose sand, laboratory model tests were conducted on small-scale models. The parameters studied were the effect of pile length and the number of piles. The load settlement behavior obtained from the tests has been validated by using 3-D finite element in ABAQUS program, was adopted to understand the load carrying response of piled raft and settlement reduction. The results of experimental work show that the increase in (Lp/dp) ratio led to increase in load carrying capacity by piled raft from (19.75 to 29.35%), (14.18 to 28.87%) and (0 to 16.49%) , the maximum load carr

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Publication Date
Wed Feb 15 2017
Journal Name
Global Journal Of Bio-science And Biotechnology
ISOLATE AND IDENTIFICATION OF PSEUDOMONAS AERUGINOSA FROM CONTAMINATED SOIL WITH HYDROCARBONS DISCHARGED FROM GAS FILLING REFINERIES
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Petroleum is one of the most important substances consumed by man at present times, a major energy source in this century, petroleum oils can cause environmental pollution during various stages of production, transportation, refining and use, petroleum hydrocarbons pollutions ranging from soil, ground water to marine environment, become an inevitable problem in the modern life, current study focused on bioremediation process of hydrocarbons contaminants that remaining in the bottom of gas cylinders and discharged to the soil. Twenty-four bacterial isolates were isolated from contaminated soils all of them gram negative bacteria, bacterial isolates screening to investigate the ability of biodegradation of hydrocarbons, these isolates inocula

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Publication Date
Wed Jan 12 2011
Journal Name
Al-mustansiriyah J. Sci
Synthesis, Spectroscopic and Biological Studies of 2-(N-Phenyl Dithio Carboxamide)Benzothiazole with some Metal Ions
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الوصف The synthesis of 2 (N-phenyl dithio carboxamid) benzothiazol Ligand (L) from reaction of 2-Mercaptobenzothiozol with phenylisothiocyanate using ratio 1: 1. The ligand was characterized by elemental analysis (CHN),'H-NMR, IR and UV-Vis. The complexes with bivalent ions (Ni, Cu, Zn, Cd and Hg) have been prepared and characterized. The structural diagnosis was established using IR, UV–Visible spectro photometer, molar conductivity, atomic absorption and molar ratio with selected metal ions (Ni2+, Cu2+). The complexes of (Ni, Cu) gave octahedral structural while the complexes of (Zn, Cd, Hg) gave tetrahedral structural. The study of biological activity of the ligand (L) and its complexes (Ni, Cu, Hg) in two deferent concentration (

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Publication Date
Fri Apr 14 2023
Journal Name
Journal Of Big Data
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
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Abstract<p>Data scarcity is a major challenge when training deep learning (DL) models. DL demands a large amount of data to achieve exceptional performance. Unfortunately, many applications have small or inadequate data to train DL frameworks. Usually, manual labeling is needed to provide labeled data, which typically involves human annotators with a vast background of knowledge. This annotation process is costly, time-consuming, and error-prone. Usually, every DL framework is fed by a significant amount of labeled data to automatically learn representations. Ultimately, a larger amount of data would generate a better DL model and its performance is also application dependent. This issue is the main barrier for</p> ... Show More
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