University of Fallujah

About: University of Fallujah is a education organization based out in Baghdad, Iraq. It is known for research contribution in the topics: Compressive strength & Medicine. The organization has 117 authors who have published 113 publications receiving 435 citations.

A Study of Some of the Indicators of Noise Pollution in Certain Residential Districts in Fallujah City

Abstract: The aim of this study was to evaluate the effects of noise exposure in certain residential districts in Fallujah city. Twenty-nine stations were selected and divided into two groups; the first group was located 50 to 100 metres from the main streets (quiet areas), whilst the second was located directly on the main streets. Noise levels were measured at a rate of three readings per station for different time periods for approximately sixty days in the year 2020. Mean values were taken in both the morning and evening using a portable sound level meter (Auto range, RS-232). The highest noise level was measured at Alforkan station for the morning reading (83.8 dB) within the second group, while the lowest noise level was measured at Alshohada alawla district station for the morning reading (63.2 dB) within the first group. As for the results of the daily noise level in the evening, the highest daily average (79.4 dB) was measured at Jaish al Shabi street, while the lowest daily average (56.4 dB) was at Dor Alsekak district. The total average noise levels for the morning measurements for the first and second groups were 66.7 dB and 77.2 dB, respectively, whereas those for evening measurements were 65.3 dB and 71.7 dB, respectively. According to field measurements, the average values for the noise (traffic) for the first and second groups in the morning and afternoon exceeded 68 dB, which may cause people to feel very disturbed according to the WHO guidelines on exposure to external environmental noise. In general, all the results measured in this study are above the limits allowed both locally and internationally. This is due to certain erroneous practices in daily activities in addition to the irregular spread of electric generators and commercial activities as well as heavy traffic in the city.

The Mediating Role of Organizational Ambidexterity in the Relationship between Business Intelligence Systems and the Learning Organization Exploratory study at the Ramadi's Hospitals

Abstract: This study aims to identifying the relationship and impact between business intelligence systems strategies and organizational ambidexterity within the learning organization in the hospitals operating in the center of Anbar province, namely: (Ramadi Teaching Hospital, Women's and Children's Hospital, Al Razi private hospital). The study adopted the purposive sample method since it represents (50%) of the entire community of the research. Other suitable statistical methods were also sued with the help of the SPSS software and the construction of a questionnaire that covered (82) individuals, making the actual total of the selected hospitals in Anbar. However, the number of retrieved questionnaire answers were (76), thus making (92%) of the total number of the original study sample. That percentage included directors and heads of departments, employees and administrators working in hospitals in the center of Anbar province. The study indicated that the skills of business intelligence and organizational ambidexterity combined morally affect the learning organization with its components (leadership, learning, strategy, change), which in turn shows the important role played by business intelligence systems and organizational ambidexterity within the learning organization as one of the pillars of the organization. Based on these findings a set of recommendations and proposals were presented for the future.

Infant Cry Recognition System: A Comparison of System Performance based on CDHMM and ANN

Abstract: Cries of infants can be seen as an indicator of pain. It has been proven that crying caused by pain, hunger, fear, stress, etc., show different cry patterns. The work presented here introduces a comparative study between the performance of two different classification techniques implemented in an automatic classification system for identifying two types of infants' cries, pain, and non-pain. The techniques are namely, Continuous Hidden Markov Models (CHMM) and Artificial Neural Networks (ANN). Two different sets of acoustic features were extracted from the cry samples, those are MFCC and LPCC, the feature vectors generated by each were eventually fed into the classification module for the purpose of training and testing. The results of this work showed that the system based on CDHMM have better performance than that based on ANN. CDHMM gives the best identification rate at 96.1%, which is much higher than 79% of ANN whereby in general the system based on MFCC features performed better than the one that utilizes LPCC features.

Suggested Economic Mathematical Model for Evaluation Economic Project Performance

Abstract: The suggested economic models may contributing to evaluate project's performances fundamentally, and achieving acceptable results, away from personal judgment and to help in the decision making process to choose the most profitable project Due to the fact that investment project contribute to the economic development in general, it is necessary to select the more profitable one based on performance The purpose of this research is to suggest an economic mathematical model to measure the financial performance of economic firms, whether the model is economically viable, and profitable along with its assumptions, also measuring such performance through the used controlling criterion The researcher used what is called the "Statistical Package of Social Sciences" (SPSS) to measure the financial performance, and understanding the suggested mathematical model and removes the often burdensome of time consuming and effort One example of this type of measurement is the use of "Factor Analysis" A method used to analyze number of variables and relations The study reveals that the model may be considered as a predictor for a firm's financial performance in the future

Long-term Food Additive Monosodium Glutamate Induces the Differentiation of Pancreatic Adipose Tissue into newly Formed Islets of Langerhans

Abstract: تاعرج لكش ىلع ينيصلا حلملل دملأا ليوط مادختسلاا قيرط نع ةديدج اتيب ايلاخ جاتنلإ سايركنبلل ينهدلا جيسنلا زيفحت