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bsj-2898
The effect of aqueous extracts and isolation proteinous compound from clove buds on serumglucose, triglyceride , glutathione and malnodialdehyde levels in alloxan induced diabetic mice
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This study was included preparing acold aqueous extract of clove buds The study also comprised the isolation and studying the proteinous compound,which was seperated using gel filtration technique and determined approximately molecular weight of this isolated compound(6799) dalton . The aim of the study demonstrate effects of the crude aqueous, non proteinous extract, proteinous precipitate and proteinous compound on serum glucose, total cholesterol, triglyceride and high density lipoprotein-cholesterol levels, also glutathione and malondialdehyde levels in liver and kidney tissues in diabetic mice-induced alloxan.Extracts were administerated interaperitioneally. The results were indicated that the crude aqueous, non proteinous extract, proteinous precipitate and proteinous compound which were caused asignificant decrease in serum glucose, total cholesterol, triglyceride levels and malondialdehyde level in liver and kidney tissues, while aproteinous precipitate don’t show asignificant decrease in serum cholesterol level but all extracts don’t show asignificant changes in serum high density lipoprotein-cholesterol level in alloxan induced diabetic mice, on other wise all extracts showed asignificant increase in glutathione level in liver and kidney tissues except non proteinous extract and proteinous precipitate which were caused asignificant increase in glutathione level in liver tissue only.

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Publication Date
Sun Jan 06 2019
Journal Name
Arabian Journal Of Geosciences
Iron Content Variations in Sphalerite and Their Effects on Reflectance and Internal Reflections under Reflected Light
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Publication Date
Sun Jun 08 2014
Journal Name
Elsevier Procedia - Social And Behavioral Sciences
Foreign direct investment and economic growth literature review from 1994 to 2012
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Foreign direct investment (FDI) has been viewed as a power affecting economic growth (EG) directly and indirectly during the past few decades. This paper reviewed an amount of researches examining the relationships between FDI and EG, especially the effects of FDI on EG, from 1994 up to 2012. The results show that the main finding of the FDI-EG relation is significantly positive, but in some cases it is negative or even null. And within the relation, there exist several influencing factors such as the adequate levels of human capital, the well-developed financial markets, the complementarity between domestic and foreign investment and the open trade regimes, etc.

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Publication Date
Thu Apr 01 2021
Journal Name
Biochemical And Cellular Archive
BIOETHANOL PRODUCTION FROM OLIVE SOLID WASTE USING SIMULTANEOUS SACCHARIFICATION AND FERMENTATION PROCESS
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Publication Date
Tue Sep 21 2021
Journal Name
Journal Of Healthcare Engineering
Complexity and Entropy Analysis to Improve Gender Identification from Emotional-Based EEGs
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Investigating gender differences based on emotional changes becomes essential to understand various human behaviors in our daily life. Ten students from the University of Vienna have been recruited by recording the electroencephalogram (EEG) dataset while watching four short emotional video clips (anger, happiness, sadness, and neutral) of audiovisual stimuli. In this study, conventional filter and wavelet (WT) denoising techniques were applied as a preprocessing stage and Hurst exponent

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Publication Date
Sat Oct 31 2020
Journal Name
Iraqi Journal Of Agricultural Sciences
RELATIONSHIP BETWEEN PIGMENTS PRODUCTION AND BIOFILM FORMATION FROM LOCAL PSEUDOMONAS AERUGINOSA ISOLATES
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The current study was designed to explore the association between the pigments production and biofilm construction in local Pseudomonas aeruginosa isolates. Out of 143 patients suffering from burns, urinary tract infections (UTI), respiratory tract infections and cystic fibrosis obtained from previous study by Mahmood (2015), twenty two isolates  (15.38%) were identified  from (11) hospitals in Iraq, splitted  into three provinces, Baghdad, Al-Anbar and Karbala for the duration of June 2017 to April 2018.  Characterization was carried out by using microscopical, morphological and biochemical methods which showed that all these isolates belong to P. aeruginosa.  Screening of   biofilm production isolates was carried out by usi

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Publication Date
Tue Feb 16 2021
Journal Name
Sys Rev Pharm
Schiff Bases and Their Metal Complexes Derived from Ortho-phthalaldehyde: A review
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Publication Date
Tue Jul 01 2025
Journal Name
South African Journal Of Chemical Engineering
Electrocoagulation process for cobalt removal from industrial wastewater: Optimization and kinetic study
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Publication Date
Sun Jan 31 2021
Journal Name
Systematic Reviews In Pharmacy
Schiff Bases and Their Metal Complexes Derived from Ortho-phthalaldehyde: A review
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Trimethoprim derivative Schiff bases are versatile ligands synthesized with carbonyl groups from the condensation of primary amines (amino acids). Because of their broad range of biological activity, these compounds are very important in the medical and pharmaceutical fields. Biological activities such as antibacterial, antifungal and antitumor activity are often seen. Transition metal complexes derived from biological activity Schiff base ligands have been commonly used.

Publication Date
Mon Feb 04 2019
Journal Name
Iraqi Journal Of Physics
Temperatture esttiimattiion off EXDRA and SSUMI dwarff Nova systtems from spectroscopic data
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The seasonal behavior of the light curve for selected star SS UMI and EXDRA during outburst cycle is studied. This behavior describes maximum temperature of outburst in dwarf nova. The raw data has been mathematically modeled by fitting Gaussian function based on the full width of the half maximum and the maximum value of the Gaussian. The results of this modeling describe the value of temperature of the dwarf novae star system leading to identify the type of elements that each dwarf nova consisted of.

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Publication Date
Sun Jun 01 2025
Journal Name
Methodsx
How mathematical models might predict desertification from global warming and dust pollutants
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