Objectives: To evaluate the families’ attitudes toward environment pollution, and determine the relationship
between families’ attitudes towards environment pollution and their demographic characteristics of age,
education, type of family, and socioeconomic status.
Methodology: A descriptive design is carried throughout the present study to evaluate families’ attitudes toward
environment pollution for the period of October 5th2013 to May 7th2014. A non-probability "purposive" sample of
(110) families’ is selected. The sample is comprised of two groups; (75) urban families’ and (35) rural ones. An
evaluation tool is designed and constructed for the purpose of the study. It is consisted of (4) main parts;
demographic data, attitudes toward environment pollution, attitudes toward producing factors for house
environment pollution, and method of house environment arrangement. Content validity and internal consistency
reliability are determined for the study instrument through a pilot study. Data are collected through the use of the
study instrument and structured interview as means of data collection. Data are analyzed through the application
of descriptive data analysis approach, which includes frequency, percent and mean of scores.
Results: The results of the study indicate that the vast majority of families’ has experienced high level of attitudes
toward environment pollution, producing factors for house environment pollution, and method of house
environment arrangement.
Recommendations: The study recommends that education program by mass media can be forwarded to families’
with regard to issues related to environment pollution in order to increase their awareness, improves their
attitudes, and positively change their behaviors
Several Intrusion Detection Systems (IDS) have been proposed in the current decade. Most datasets which associate with intrusion detection dataset suffer from an imbalance class problem. This problem limits the performance of classifier for minority classes. This paper has presented a novel class imbalance processing technology for large scale multiclass dataset, referred to as BMCD. Our algorithm is based on adapting the Synthetic Minority Over-Sampling Technique (SMOTE) with multiclass dataset to improve the detection rate of minority classes while ensuring efficiency. In this work we have been combined five individual CICIDS2017 dataset to create one multiclass dataset which contains several types of attacks. To prove the eff
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Political, economic, and ideological considerations have been major forces behind the Olympics since their inception. Numerous instances exist, including Hitler's attempts to showcase the might and triumph of the Nazi regime in the 1936 Berlin Olympics, Japan's attempts in 1964 Tokyo Olympics to overcome the legacy of its World War II defeat, and the Republic of Korea's display of the success of its democratic experiment. In the year 1988 in terms of technology. Taking advantage of the US boycott of the 1980 Moscow Games, this study attempts to look into the strategies employed by Britain to stop its athletes from competing in those events. Confusion prevailed among the governments of Carter and Thatcher, as well as among the allied
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Abstract
Research aims : The aim of the research is to evaluate the reality of the inspection teams' work in the health institutions belonging to Dhi-Qar health office .
Purpose: This research seeks to present a point of view based on knowing the extent of health service quality in Dhi-Qar governorate and discover the role of the inspection teams in enhancing the health service.
Design / Methodology/ Approach: The experimental method has been used and the questionnaire has also been used to collect data in order to develop a reliable and correct measurement model for the research's variables . The research's hypotheses have been tested through using some statistical treat
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This study was performed on the Tigris River (Baghdad city section) during the period between December 2016 and December 2018 to assess seasonal variation in water quality using the Overall Index of Pollution (OIP). The OIP is one of the reliable tools for the assessment of surface water quality. To calculate OIP-values, eight parameters were measured ( pH, Dissolved Oxygen "DO", Biological Oxygen Demand "BOD", Total Dissolved Solid "TDS", Total Hardness "TH", calcium "Ca", Sulphate "SO4" and Alkalinity). The results showed the anthropogenic activities impact of Baghdad population that directly discharge of "inadequate treated" waste water to the river. OIP values were acceptable (1˃OIP˃ 1.7) in 2011, 2012, 2013 and 2018. However, in
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Photonic Crystal Fiber (PCF) based on the Surface Plasmon Resonance (SPR) effect has been proposed to detect polluted water samples. The sensing characteristics are illustrated using the finite element method. The right hole of the right side of PCF core has been coated with chemically stable gold material to achieve the practical sensing approach. The performance parameter of the proposed sensor is investigated in terms of wavelength sensitivity, amplitude sensitivity, sensor resolution, and linearity of the resonant wavelength with the variation of refractive index of analyte. In the sensing range of 1.33 to 1.3624, maximum sensitivities of 1360.2 nm ∕ RIU and 184 RIU−1 are achieved with the high sensor resolutions of 7
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