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Bayes Classification and Entropy Discretization of Large Datasets using Multi-Resolution Data Aggregation
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Big data analysis has important applications in many areas such as sensor networks and connected healthcare. High volume and velocity of big data bring many challenges to data analysis. One possible solution is to summarize the data and provides a manageable data structure to hold a scalable summarization of data for efficient and effective analysis. This research extends our previous work on developing an effective technique to create, organize, access, and maintain summarization of big data and develops algorithms for Bayes classification and entropy discretization of large data sets using the multi-resolution data summarization structure. Bayes classification and data discretization play essential roles in many learning algorithms such as decision tree and nearest neighbor search. The proposed method can handle streaming data efficiently and, for entropy discretization, provide su the optimal split value.

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Publication Date
Fri Jun 01 2018
Journal Name
Materials Science-poland
Thermal and electrical properties of polyimide/PANI nanofiber composites prepared via in situ polymerization
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Abstract<p> Polyimide/polyaniline nanofiber composites were prepared by in situ polymerization with various weight percentages of polyaniline (PANI) nanofibers. X-ray diffraction (XRD) and Fourier transform infrared spectra (FT-IR), proved the successful preparation of PANI nanofiber composite films. In addition, thermal stability of PI/PANI nanofiber composites was superior relative to PI, having 10 % gravimetric loss in the range of 623 °C to 671 °C and glass transition temperature of 289 °C to 297 °C. Furthermore, the values of the loss tangent tanδ and AC conductivity σAC of the nanocomposite films were notably higher than those of pure polyimide. The addition of 5 wt.% to 15 wt.% PANI</p> ... Show More
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Publication Date
Sat May 01 2021
Journal Name
Journal Of Physics: Conference Series
Evaluation of Ceruloplasmin ferroxidase activity and lipid profiles in patients with Valvular heart diseases
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Abstract<p>One of the major health problems causing defects or damage to one or more of the four heart valves [aortic, mitral, pulmonary, and tricuspid] is valvular heart disease [VHD]; it occurs due to congenital abnormalities or acquired pathology. It is a defect that results in weak heart valves and is therefore unable to function as precise pathways of the blood. The aim of the current study was to evaluate the ferroxidase activity of ceruloplasmin (Cp) and the lipid profile of valvular heart disease patients in sera. Ninety subjects were included in this study and 60 patients with HDV were divided into two subgroups according to the affected valve: 33 patients with aortic valve disease (AV) and 27 patients</p> ... Show More
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Publication Date
Mon Feb 01 2021
Journal Name
Indonesian Journal Of Electrical Engineering And Computer Science
Comparative study of logistic regression and artificial neural networks on predicting breast cancer cytology
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<p>Currently, breast cancer is one of the most common cancers and a main reason of women death worldwide particularly in<strong> </strong>developing countries such as Iraq. our work aims to predict the type of tumor whether benign or malignant through models that were built using logistic regression and neural networks and we hope it will help doctors in detecting the type of breast tumor. Four models were set using binary logistic regression and two different types of artificial neural networks namely multilayer perceptron MLP and radial basis function RBF. Evaluation of validated and trained models was done using several performance metrics like accuracy, sensitivity, specificity, and AUC (area under receiver ope

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Publication Date
Sun May 01 2022
Journal Name
Revue Française D'allergologie
Indoor house dust-borne fungi and risk of allergic respiratory diseases in Baghdad city
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Publication Date
Sat Jan 01 2022
Journal Name
Materials Today: Proceedings
Evaluating the individual, dual usage of (TGP) and (SF) additives on improving gypsum characteristics
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Publication Date
Sat Jan 01 2022
Journal Name
International Journal Of Economics And Finance Studies
RELATIONSHIP BETWEEN COST REDUCTION AND REEVALUATING CUSTOMERS' DESIRES: THE MEDIATING ROLE OF SUSTAINABLE DEVELOPMENT
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Publication Date
Wed Mar 23 2022
Journal Name
Journal Of Educational And Psychological Researches
Meta-Motivation and its Relationship to the Uniqueness Seeking of the Engineering Colleges Students
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The current study aims to identify:The meta-motivation and Uniqueness seeking of the study sample. The correlated  relationship among them. The present study sample consists of (400) students from the colleges of engineering, University of Baghdad, and the University of Technology in the academic year (2019-2020), and the researcher has adopted the Chen Scale (1995)to measure the meta-motivation after its translation into Arabic by(Al-Samawi,2011).The scale includes six dimensions. The researcher has also adopted the Snyder&Fromkin scale (1980) to measure the uniqueness  seeking after translating and adapting it into the Arabic environment. The scale consists of three dimensions. The results show that students of the Facult

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Publication Date
Sun Nov 01 2020
Journal Name
Civil Engineering Journal
Flexural Behavior of Composite GFRP Pultruded I-Section Beams under Static and Impact Loading
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In this study, the effect of glass fiber reinforced polymer (GFRP) section and compressive strength of concrete in composite beams under static and low velocity impact loads was examined. Modeling was performed and the obtained results were compared with the test results and their compatibility was evaluated.‎ Experimental tests of four composite beams were carried out, where two of them are control specimen with 20 MPa compressive strength of concrete deck slab and 50 MPa for other. Bending characteristics were affected by the strength of concrete under impact loading case, as it increased maximum impact force and damping time at a ratio of 59% and reduced the damping ratio by 47% compared to the reference hybrid beam. Under stat

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Publication Date
Sun Jan 01 2017
Journal Name
International Journal Of Microbiology
Production, Characterization, and Antimicrobial Activity of Mycocin Produced by<i>Debaryomyces hansenii</i>DSMZ70238
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The present study was conducted to estimate the antimicrobial activity and the potential biological control of the killer toxin produced byD. hanseniiDSMZ70238 against several pathogenic microorganisms. In this study, the effects of NaCl, pH, and temperature, killer toxin production, and antimicrobial activity were studied. The results showed that the optimum inhibitory effect of killer toxin was at 8% NaCl, and the diameters of clear zones were 20, 22, 22, 21, 14, and 13 mm forStaphylococcus aureus, Escherichia coli, Klebsiella pneumoniae, Streptococcus pyogenes, Candida albicans,andCandida neoformans, respectively. The largest inhibition zones were

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Publication Date
Fri Mar 29 2024
Journal Name
Iraqi Journal Of Science
Involvement of Total Antioxidant Activity and eNOS Gene rs1799983/ rs2070744 Polymorphisms in Breast Carcinogenesis
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Globally, breast cancer is the common malignancy affecting women and understanding its associated molecular events could help in disease prevention and management strategies. The present study was set to investigate an association between total antioxidant capacity (TAC) and endothelial nitric oxide synthase (eNOS) polymorphisms with breast cancer. For this purpose, 100 subjects were participated in this work, including 50 female patients diagnosed with breast cancer recruited from Oncology hospital, Baghdad - Iraq and 50 healthy women as a control group. The concentration of antioxidants was measured in the serums collected from blood samples of breast cancer patients and healthy controls. While eNOS SNPs (rs1799983, G894T and rs2070744, T

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