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Charge Transport At Liquid/Liquid Interface
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 Charge  transfer (CT) at  liquid/liquid  interfaces are described  theoretically depending on  the quantum theory .A model that derived used to calculate the rate constant  of transport at liquid/liquid  interfaces. The calculation of the rate constant of  charge  transfer depends on  the calculation of the reorganization energy, driving force ,and the coupling coefficient . Large reorganization energies  and large rate constant  for charge transfer ,indicate that the transitions involve more energy to happen . The system have large 𝐸0 (𝑒𝑉) refers that  type  of  liquid  is more reactive media than other liquid types with same donor. Driving force energy to drive the charge increases with the increase of absorption energy and decrease of in wave length. Height barrier at liquid/liquid interface that decreasing with decreasing the driving force energy and increasing the absorption energies  .Charge  transfer is so much small as a barrier of large values but in the low values of  barrier ,the transfer is most probable. The large height  barrier exclusion transfers across liquid/liquid system and the charger suffers from much resistant to transfer . However, this excluded transfer could be significantly large for high barrier and  small  concentrations .The theoretical  values of rate constant of charge transfer show a good agreement with some of the experimental studies

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Publication Date
Tue Jan 01 2019
Journal Name
Energy Procedia
Studying the effect of adding buffer gases to CO2 gas on the electron transport parameter
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Publication Date
Mon Oct 02 2023
Journal Name
Journal Of Engineering
Transport Assessment Using Bayesian Method to Determine Ride-Hailing in Kula Lumpur: A Case Study
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This research was designed to investigate the factors affecting the frequency of use of ride-hailing in a fast-growing metropolitan region in Southeast Asia, Kuala Lumpur. An intercept survey was used to conduct this study in three potential locations that were acknowledged by one of the most famous ride-hailing companies in Kuala Lumpur. This study used non-parametric and machine learning techniques to analyze the data, including the Pearson chi-square test and Bayesian Network. From 38 statements (input variables), the Pearson chi-square test identified 14 variables as the most important. These variables were used as predictors in developing a BN model that predicts the probability of weekly usage frequency of ride-hai

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Publication Date
Fri Feb 28 2020
Journal Name
Neuroquantology
Studying the Swarm Parameters and Electron Transport Coefficients in N2– CH4 Mixtures Using BOLSIG+ Program
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Publication Date
Fri Sep 30 2011
Journal Name
Al-khwarizmi Engineering Journal
Charge Stratification and Fuel/Air Ratio Effect on the Efficiency of (ICADE) I. C. Engine Cycle
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The Isolated Combustion and Diluted Expansion (ICADE) internal combustion engine cycle combines the advantages of constant volume combustion of the Otto cycle with the high compression ratio of the Diesel cycle.   This work studies the effect of isolated air mass (charge stratification) on the efficiency of the cycle; the analysis shows that the decrease of isolated air mass will increase the efficiency of the cycle and the large dilution air mass will quench all NOx forming reactions and reduce unburned hydrocarbons. Furthermore, the effect of Fuel / Air ratio on the efficiency shows that the increase of Fuel / Air ratio will increase efficiency of the cycle.

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Publication Date
Thu Feb 07 2019
Journal Name
Iraqi Journal Of Laser
Laser Enhanced Photocatalyic Degradation of Methylene blue using Nanostructured ZnO Catalyst based on Interfacial Charge Transfer
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In this research, annealed nanostructured ZnO catalyst water putrefaction system was built using sun light and different wavelength lasers as stimulating light sources to enhance photocatalytic degradation activity of methylene blue (MB) dye as a model based on interfacial charges transfer. The structural, crystallite size, morphological, particle size, optical properties and degradation ability of annealed nanostructured ZnO were characterized by X-Ray Diffraction (XRD), Atomic Force Microscopy (AFM) and UV-VIS Spectrometer, respectively. XRD results demonstrated a pure crystalline hexagonal wurtzite with crystalline size equal to 23 nm. From AFM results, the average particle size was 79.25nm. All MB samples and MB with annealed nanostr

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Publication Date
Wed Aug 30 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
The Space-Charge Effect on Theoretical Design of the Electron Gun Operated under Finite Magnification Condition
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A computer theoretical s1udy has been carried out in field of opto - clcctroniccs, to design  an electron  gun using the space charge effect.

The   distribution  of   axial  potential    upon   the  two   -electrode

immersion  lens  of  (L=l4mm)  has been  carried   out   using   Poisons equation and the  tinite  clement  method;  knowing  the first 11nd second derivation  of  the    axial   potential   and  the  solution   of  paraxial   ray equation, the  optical   prop

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Publication Date
Mon May 22 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
A Theoretical Study of the Effect of The Solvent Type on The Reorganization Energies of Dye - Semiconductor System Interface
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    A theoretical calculation of the reorganization energies is demonstrated for semiconductor (TiOâ‚‚, ZnO) and organic dye (safranine T, and coumarin) with a variety solvent such that (water,  1­propanol, Formamide, Acetonitrile and Ethanol).     The reorganization energy values for dye –semiconductor interface system are large in high polar solvent (water 741 .0  , Acetonitrile 708 .0  , Ethanol 669 .0  ) and small in low polar solvent(1­propanol 635 .0  . The reorganization energy in safranine T –semiconductor system is larger ( 635 741.0  )than in coumarin –semiconductor for with the same solvents ( 612

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Publication Date
Thu Apr 13 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Reducing False Notification in Identifying Malicious Application Programming Interface(API) to Detect Malwares Using Artificial Neural Network with Discriminant Analysis
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 This paper argues the accuracy of behavior based detection systems, in which the Application Programming Interfaces (API) calls are analyzed and monitored. The work identifies the problems that affecting the accuracy of such detection models. The work was extracted (4744) API call through analyzing. The new approach provides an accurate discriminator and can reveal malicious API in PE malware up to 83.2%. Results of this work evaluated with Discriminant Analysis

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Publication Date
Sun Jun 01 2014
Journal Name
Ibn Al-haitham Jour. For Pure & Appl. Sci.
Reducing False Notification in Identifying Malicious Application Programming Interface(API) to Detect Malwares Using Artificial Neural Network with Discriminant Analysis
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Publication Date
Fri Apr 12 2019
Journal Name
Journal Of Economics And Administrative Sciences
((Requirements for raising the efficiency and development of rail transport in Iraq according to proposed scenarios))
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Abstract:

 The research concerned the study of the railway transport sector in selected countries that sought to raise the efficiency of the railway network and develop it, after realizing the importance of this vital sector, which is a link between it and the rest of the other economic sectors.

The research sought to explain the methods, methods and procedures adopted by these countries for the development of the railway sector, and to benefit from these experiments to improve the efficiency of the railway transport sector in Iraq.

The railway transport sector in Iraq suffers from the erosion of railway lines and mobile units such as locomotives, pas

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