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the role of marketing intelligence in promoting new product policies.a sample survey of workers in a number of mineral water plants in dohuk governorate
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Marketing Intelligence is one of the important methods of collecting information about competitors ' products and changes in customers ' tastes and needs that contribute to determining the policies to be followed in product development.

The problem of research, which seeks to be answered by the extent to which the companies in question have the appropriate and effective mechanisms to develop their products, and the nature of the relationship between the components of marketing intelligence and new product development policies. The importance of research is determined by the importance of obtaining important and necessary information to make the appropriate decision on the development of the new product and the policies the duty to follow that development, while the research objectives are to determine the nature of the relationship between marketing intelligence and product development policies, and the extent to which companies have For the marketing intelligence, what are the proposals that help the companies that are being sought to develop the system of intelligent marketing.

The search sample was made up of production line managers, people's officials and section managers in three mineral water production companies in Dohuk city. In order to collect the necessary data for the purpose of testing the research hypotheses, aquestionnaire   containing (28) question has been designed for the two variables of marketing intelligence and development policies and distributed (45) Questionnaire , analysed (42) as being suitable for analysis using the statistical programme (SPSS 21) with a view to extracting duplicates and percentages arithmetic averages, standard deviations, and simple correlation coefficient to measure the relationship between search variables, and the use of multiple regression to measure Effect after the explanatory variable in the respondent variable, the model's moral test and its supported dimensions in the search depending on the selection coefficient (R²) through the value (F).

The research found a number of conclusions and recommendations, including the importance of the material and moral incentives given to competent intelligence workers  in order  area to improve the quality of the required information collected by them by observing the movements of competitors in the market and the prices of their products and quality level. The impact of marketing intelligence on new product development policies also indicates that new product development policies are derived from the marketing intelligent systems. The research recommended making use of the experiences of successful and leading organizations in the field of marketing intelligence to help select new product development policies.

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Publication Date
Thu Oct 29 2020
Journal Name
Complexity
Training and Testing Data Division Influence on Hybrid Machine Learning Model Process: Application of River Flow Forecasting
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The hydrological process has a dynamic nature characterised by randomness and complex phenomena. The application of machine learning (ML) models in forecasting river flow has grown rapidly. This is owing to their capacity to simulate the complex phenomena associated with hydrological and environmental processes. Four different ML models were developed for river flow forecasting located in semiarid region, Iraq. The effectiveness of data division influence on the ML models process was investigated. Three data division modeling scenarios were inspected including 70%–30%, 80%–20, and 90%–10%. Several statistical indicators are computed to verify the performance of the models. The results revealed the potential of the hybridized s

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Publication Date
Mon Jul 01 2019
Journal Name
Journal Of Physics: Conference Series
Enhanced sensing properties of WO<sub>3</sub> and its binary systems for thin films gas sensors
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Abstract<p>Thin films of pure WO<sub>3</sub> and the binary systems of TiO<sub>2</sub>:WO<sub>3</sub>,MoO<sub>3</sub>:WO<sub>3</sub>,Cr<sub>2</sub>O<sub>3</sub>:WO<sub>3</sub>, and SnO<sub>2</sub>:WO<sub>3</sub> were prepared by pulsed laser deposition method. The single and binary compounds were sintered at 1273K for five hours. The deposition were done under vacuum of 2x10<sup>-2</sup> Torr at various substrates like glass and single crystal silicon wafer with negative conductance at ambient temperature thickness of ≍150 nm. The structures and morphology of pure WO<sub>3</sub></p> ... Show More
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Publication Date
Wed Mar 15 2017
Journal Name
International Journal Of Computer Applications
Improve Roll Dynamic Response of Road Vehicle to Step Steer Input using Semi-active PID Suspension Controller
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Publication Date
Mon Dec 01 2025
Journal Name
Results In Engineering
Performance improvement of air-based photovoltaic thermal solar systems through innovative metallic foam configurations within converging ducts
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Publication Date
Wed Sep 20 2023
Journal Name
Environmental Progress &amp; Sustainable Energy
Production and characterization of composite activated carbon from potato peel waste for cyanide removal from aqueous solution
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Abstract<p>This research presents a response surface methodology (RSM) with I‐optimal method of DESIGN EXPERT (version 13 Stat‐Ease) for optimization and analysis of the adsorption process of the cyanide from aqueous solution by activated carbon (AC) and composite activated carbon (CuO/AC) produced by pyro carbonic acid microwave using potato peel waste as raw material. Pyrophosphate 60% (wt) was used for impregnation with an impregnation ratio 3:1, impregnation time of 4 h at 25°C, radiant power of 700 W, and activation time of 20 min. Batch experiments were conducted to determine the removal efficiency of cyanide from aqueous solution to evaluate the influences of various experimental parameters su</p> ... Show More
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Publication Date
Fri Aug 01 2008
Journal Name
2008 First International Conference On The Applications Of Digital Information And Web Technologies (icadiwt)
Hybrid canonical genetic algorithm and steepest descent algorithm for optimizing likelihood estimators of ARMA (1, 1) model
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This paper presents a hybrid genetic algorithm (hGA) for optimizing the maximum likelihood function ln(L(phi(1),theta(1)))of the mixed model ARMA(1,1). The presented hybrid genetic algorithm (hGA) couples two processes: the canonical genetic algorithm (cGA) composed of three main steps: selection, local recombination and mutation, with the local search algorithm represent by steepest descent algorithm (sDA) which is defined by three basic parameters: frequency, probability, and number of local search iterations. The experimental design is based on simulating the cGA, hGA, and sDA algorithms with different values of model parameters, and sample size(n). The study contains comparison among these algorithms depending on MSE value. One can conc

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Publication Date
Sun Apr 25 2021
Journal Name
Egyptian Journal Of Chemistry
Indirect spectrophotometric determination of Mebendazole using n-bromosuccinimide as an oxidant and tartarazine dye as analytical reagent
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Publication Date
Wed Jul 01 2015
Journal Name
Magnetic Resonance Imaging
Alpha shape theory for 3D visualization and volumetric measurement of brain tumor progression using magnetic resonance images
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Alpha shape theory for 3D visualization and volumetric measurement of brain tumor progression using magnetic resonance images

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Publication Date
Tue Oct 24 2023
Journal Name
Environmental Engineering Research
Exploring electromembrane extraction and liquid membrane for efficient removal of heavy metals from aqueous solutions: An overview
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Environmental pollution is experiencing an alarming surge within the global ecosystem, warranting urgent attention. Among the significant challenges that demand immediate resolution, effective treatment of industrial pollutants stands out prominently, which for decades has been the focus of most researchers for sustainable industrial development aiming to remove those pollutants and recover some of them. The liquid membrane (LM) method, specifically electromembrane extraction (EME), offers promise. EME deploys an electric field, reducing extraction time and energy use while staying eco-friendly. However, there's a crucial knowledge gap. Despite strides in understanding and applying EME, optimizing it for diverse industrial pollutant

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Publication Date
Mon May 25 2026
Journal Name
Journal Of Composites Science
Sectional and Stress Analysis of Hybrid Reinforced Concrete Beams with Embedded GFRP Profiles Under Monotonic Static Loading
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Glass fiber–reinforced polymer (GFRP) reinforcement provides an effective alternative to conventional steel in concrete structures due to its corrosion resistance. Nevertheless, the lower elastic modulus of GFRP necessitates careful consideration of serviceability behavior in GFRP-reinforced concrete members. This study presents a numerical sectional analysis model for predicting the flexural response and ultimate capacity of hybrid reinforced concrete beams incorporating embedded GFRP profiles in combination with either mild steel or GFRP reinforcement bars under monotonic static loading. The proposed model employs realistic nonlinear stress–strain relationships for concrete and steel, together with secant moduli of elasticity

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