The study included calculating levels of lead, cadmium, zinc, copper, nickel, chromium, and iron in the Baghdad Belt region using geochemical indicators, including the Integrated Pollution Index (IPI) and the Risk Index (RI). Data variations were observed between the agricultural and industrial areas studied, reflecting differences in heavy metal levels. The highest concentrations of lead (89 mg/kg), cadmium (1.9 mg/kg), zinc (133 mg/kg), copper (77 mg/kg), nickel (91 mg/kg), chromium (100 mg/kg), and iron (25,000 mg/kg) were recorded in Abu Ghraib. Pollution indices showed moderate to severe levels, ranging from 1.23 in Al-Tarmiya to a maximum of 2.28 in Abu Ghraib.

A novel analytical method is developed for the determination of azithromycin. The method utilizes continuous flow injection analysis to enhance the chemiluminescence system of luminol, H2O2, and Cr(III). The method demonstrated a linear dynamic range of 0.001–100 mmol L-1 with a high correlation coefficient (r) of 0.9978, and 0.001–150 mmol L-1 with a correlation coefficient (r) of 0.9769 for the chemiluminescence emission versus azithromycin concentration. The limit of detection (L.O.D.) of the method was found to be 18.725 ng.50 µL−1 based on the stepwise dilution method for the lowest concentration within the linear dynamic range of the calibration graph. The relative standard deviation (R.S.D. %) for n = 6 was less than 1.2%

Various theories have been proposed since in last century to predict the first sighting of a new crescent moon. None of them uses the concept of machine and deep learning to process, interpret and simulate patterns hidden in databases. Many of these theories use interpolation and extrapolation techniques to identify sighting regions through such data. In this study, a pattern recognizer artificial neural network was trained to distinguish between visibility regions. Essential parameters of crescent moon sighting were collected from moon sight datasets and used to build an intelligent system of pattern recognition to predict the crescent sight conditions. The proposed ANN learned the datasets with an accuracy of more than 72% in comp

A mathematical eco-epidemiological model consisting of harvested prey–predator system involving fear and disease in the prey population is formulated and studied. The prey population is supposed to be separated into two groups: susceptible and infected. The susceptible prey grows logistically, whereas the infected prey cannot reproduce and instead competes for the environment’s carrying capacity. Furthermore, the disease is transferred through contact from infected to susceptible individuals, and there is no inherited transmission. The existence, positivity, and boundedness of the model’s solution are discussed. The local stability analysis is carried out. The persistence requirements are established. The global behavior of th

This paper reports an experimental study regarding the influence of vertical oscillations on the natural convection heat transfer from a vertical channel. An experimental set-up was constructed and calibrated; the vertical channel was tested in atmosphere at 25o
C. The channel-to-ambient temperature difference was varied with the power supply to the electrical heater ranging between
15W to 70W divided into five levels. Data sets were measured under different operating condition from a test rig under six vibrating velocities (VVs) levels ranging from (5-30 m/s) in addition to the stationary state. The results show that the maximum heat transfer enhancement factor (E) occurs at Rayleigh number (Ra=2.328×103 ) and vibrational Reynol

This research aims to build a model to analyze the role of digital transformation (DT) and HR Flexibility in the strategic human resource management outcomes (SHRM outcomes) in the Iraqi Banking Sector. To be more precise, it explores whether HR Flexibility is a mediating factor between digital transformation and bank performance, employee dedication, and talent preservation. The research adopted a quantitative cross-sectional study design. A structured questionnaire will be used to collect data from at least 420 respondents. The method of analysis will be through surveys collected from 420 employees in the private and government banks in Iraq. IBM SPSS will be used to conduct preliminary analysis, and IBM SPSS AMOS will be used for Confirm