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bsj-2454
Influence of Lead Exposure in the Expression of Calmodulin – Related Genes: A Preliminary Study on Workers Working in Industry of Batteries, In Iraq
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Most pathological effects of lead on the body are due to ability of lead to bind with important cellular molecules of various tissues and organs leading to formation abnormal molecules and thus to emergence of pathological conditions. To evaluation the risk to the health status of Iraqi workers who work in the batteries industry, expression of three types of calmodulin related genes were examined. Blood samples were collected from worker working in Iraqi industry of batteries (located in Al-Waziriya), then RNAs extraction were done thereby gene expression for Calcium/Calmodulin- dependent protein kinase2 (CaMKK2), C-X-C Chemokine receptor 4 (CXCR4) and mitogen activated protein kinase kinase 6 (MAP2K6) was done for each sample by using RT-qPCR. The study showed that the expression of CXCR4 gene was significantly decrement in the lead exposed workers meanwhile the MAP2K6 gene insignificantly increment in those workers, but no effect appeared on their CaMKK2 gene expression. Conclusion obtained from this study is that lead has ability to impact on calmodulin related genes in the workers working in the batteries manufacture, but this ability is variable according to the type of gene.

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Publication Date
Thu Dec 15 2022
Journal Name
Journal Of Petroleum Research And Studies
Preparation and Characterization of High Surface Area Nanosilica from Iraqi Sand via Sol-Gel Technique
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The present study revealed a low-cost process for utilizing desert sand for preparing nanosilica by sol-gel technique. This work required sodium hydroxide, concentrated hydrochloric acid, distillate water as raw materials, and Iraqi sand. Nanosilica sample was characterized by X-Ray Diffraction (XRD), scanning electron microscopy analysis (SEM), atomic force microscope(AFM), surface area (BET) method, and fourier transform infrared (FTIR). The XRD result of produced sample is referred to as amorphous silica, and it has a broad peak at 2Θ= 22° – 22.5 º. SEM showed spherical, agglomerated silica particles with a diameter range of 26.57–28.93 nm. In addition, the average particle size was 76.35nm, with a dimension range of 40-11

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Publication Date
Sat Aug 08 2026
Journal Name
Ionics
Synthesis and characterization of copper ion conducting PVA/HPMC gel polymer electrolytes with polyionic liquid
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Gel polymer electrolytes (GPEs) have attracted considerable attention for rechargeable battery applications because of their high ionic conductivity, mechanical flexibility, and enhanced safety. In the present work, copper-ion-conducting PVA/HPMC gel polymer electrolytes were successfully prepared by the solution casting method using a 50:50 PVA/HPMC blend. Different CuSO₄ concentrations (10, 20, and 30 wt%) were incorporated into the polymer matrix, followed by the addition of 3 mL PANI/[BMIM][BF₄] polyionic liquid. The prepared electrolytes were characterized using scanning electron microscopy (SEM), differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), and electrochemical impedance spectroscopy (EIS). SEM analysi

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Publication Date
Sat Apr 27 2024
Journal Name
Journal Of Applied Polymer Science
Synthesis of carboxymethyl cellulose from coconut fibers and its application as solid polymer electrolyte membranes
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Abstract<p>Carboxymethyl cellulose (CMC) is one of the important cellulose derivatives, and it can be developed as a host polymer for solid polymer electrolyte (SPE) membrane. This study aimed to synthesis of CMC from coconut fiber cellulose and it was applied to prepare the SPE membranes. Cellulose isolation was conducted through the delignification and bleaching process, while the CMC synthesis was conducted through alkalization and carboxymethylation treatments. SPE membranes were prepared by blending CMC with carboxymethyl chitosan (CMCh) (80/20) and mixed with various weight percentages of LiOAc at room temperature. SPE membranes characterizations were conducted using FTIR, EIS, XRD, SEM, and tensile testi</p> ... Show More
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Publication Date
Mon Jun 01 2026
Journal Name
Iop Conference Series: Earth And Environmental Science
Protease-Based Enzymatic Pretreatment Enhances Biodegradability of Dairy Wastewater Purification and SEC-HPLC Molecular Evidence
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Abstract<p> The large protein clumps in dairy effluent make it harder for microbes to break down the waste, making traditional biological treatment methods less effective. This research generated an extracellular protease from Pseudomonas aeruginosa, partially purified it, and utilized it as an enzymatic pretreatment to improve substrate accessibility for biological processes. The purification method, which included ammonium sulfate precipitation and dialysis, raised the specific activity from 1.21 to 20.26 U mg <sup>−1</sup> . This meant that the active enzyme fraction had been made stronger. Size-exclusion high-performa</p> ... Show More
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Publication Date
Wed Oct 01 2025
Journal Name
Indonesian Journal Of Chemistry
Synthesis of Titanium Dioxide Nanoparticles for Removal of Pb&lt;sup&gt;2+&lt;/sup&gt;, Cd&lt;sup&gt;2+&lt;/sup&gt; and Cr&lt;sup&gt;3+&lt;/sup&gt; from Wastewater
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Water pollution is widely regarded as one of the most pressing global challenges, exacerbated by human progress in industrial, agricultural, and technological sectors. Wastewater often contains non-biodegradable heavy metals that accumulate in living organisms. This accumulation poses significant risks to both environmental ecosystems and human health. The structures and surface morphology were characterized by FTIR, UV-vis measurements, XRD, SEM, and AFM. TiO2 nanoparticles could remove heavy metal ions (Pb2+, Cd2+, and Cr3+) from two samples (laboratory samples and real samples from Babylon battery factory in Al-Waziriya, Baghdad/Iraq) and measured by AAS. The results indicated that the removal percentages of heavy metal ions by T

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Publication Date
Mon Aug 01 2016
Journal Name
2016 38th Annual International Conference Of The Ieee Engineering In Medicine And Biology Society (embc)
Selecting the optimal movement subset with different pattern recognition based EMG control algorithms
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Publication Date
Sun Jun 07 2009
Journal Name
Baghdad Science Journal
Limits between the Cosmological Parameters from Strong Lensing Observations for Generalized Isothermal Models
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This paper including a gravitational lens time delays study for a general family of lensing potentials, the popular singular isothermal elliptical potential (SIEP), and singular isothermal elliptical density distribution (SIED) but allows general angular structure. At first section there is an introduction for the selected observations from the gravitationally lensed systems. Then section two shows that the time delays for singular isothermal elliptical potential (SIEP) and singular isothermal elliptical density distributions (SIED) have a remarkably simple and elegant form, and that the result for Hubble constant estimations actually holds for a general family of potentials by combining the analytic results with data for the time dela

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Publication Date
Thu Sep 18 2025
Journal Name
Sustainable Engineering And Innovation
Using fruit fly and dragonfly optimization algorithms to estimate the Fama-MacBeth model
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This research proposes the application of the dragonfly and fruit fly algorithms to enhance estimates generated by the Fama-MacBeth model and compares their performance in this context for the first time. To specifically improve the dragonfly algorithm's effectiveness, three parameter tuning approaches are investigated: manual parameter tuning (MPT), adaptive tuning by methodology (ATY), and a novel technique called adaptive tuning by performance (APT). Additionally, the study evaluates the estimation performance using kernel weighted regression (KWR) and explores how the dragonfly and fruit fly algorithms can be employed to enhance KWR. All methods are tested using data from the Iraq Stock Exchange, based on the Fama-French three-f

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Publication Date
Fri Sep 30 2022
Journal Name
Journal Of Economics And Administrative Sciences
Semi Parametric Logistic Regression Model with the Outputs Representing Trapezoidal Intuitionistic Fuzzy Number
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In this paper, the fuzzy logic and the trapezoidal fuzzy intuitionistic number were presented, as well as some properties of the trapezoidal fuzzy intuitionistic number and semi- parametric logistic regression model when using the trapezoidal fuzzy intuitionistic number. The output variable represents the dependent variable sometimes cannot be determined in only two cases (response, non-response)or (success, failure) and more than two responses, especially in medical studies; therefore so, use a semi parametric logistic regression model with the output variable (dependent variable) representing a trapezoidal fuzzy intuitionistic number.

the model was estimated on simulati

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Publication Date
Mon Sep 01 2014
Journal Name
Al-khwarizmi Engineering Journal
Using TermoDeck System for Pre-Cooling/ Heating to Control the Building Inside Conditions
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In this paper, experimental study has been done for temperature distribution in space conditioned with Ventilation Hollow Core Slab (TermoDeck) system. The experiments were carried out on a model room with dimensions of (1m 1.2m 1m) that was built according to a suitable scale factor of (1/4). The temperature distributions was measured by 59 thermocouples fixed in several locations in the test room. Two cases were considered in this work,  the first one during unoccupied period at night time (without external load) and the other at day period with external load of 800W/m2 according to solar heat gain calculations during summer season in Iraq. All results confirm the use of TermoDeck system for ventilation and cooling/heat

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