Objectives: The study aims to: (1) assess the prevalence of phantom vibration and ringing syndrome among
nurses, (2) determine the level of job-related stress among those nurses who are working at teaching hospitals in
Al- Nasiriyah city, and (3) identify the association between job-related stress and experience of phantom
vibration and ringing syndrome.
Methodology: : A descriptive design, cross-sectional study was used for the present study was carried out
from 4th December, 2017 to the 4th April, 2018 in order to determine the association of Phantom
Vibration and Ringing Syndrome with Job - Related Stress among nurses at Teaching Hospitals in AlNasiriyah
City , on a purposive (non-probability) sample was used in this study that composed of (600) nurses
who are working in the morning and night shifts . Data were collected by using the technique of self –
administrative report was consisted of four parts: ' socio-demographic characteristics for the nurses, factors
that are related to mobile use among the nurses , phantom vibration and ringing syndrome scale and job –
related stress scale . The validity of the questionnaire was obtained through a panel of experts and the
internal consistency reliability was achieved through the application of Alpha Correlation Coefficient (r=0.76)
which was statistically acceptable.
Results: The finding of the study revealed that phantom vibration and ringing syndrome are experienced
moderately among nurses evidenced by significant level among all items of the scale, there were no
significant association between phantom vibration \ ringing syndrome and job- related stress among nurses.
Recommendations: The study recommended spreading awareness among nurses regarding the risks of mobile
use through instructional sessions and continuing education lectures and the necessary conducting of further
similar studies for exploring the factors that influence the job-related stress in order to apply the management for
such factors
The electric energy is one of the most important renewable energies used in the world as it is the main source for sustainable development and economic development through its use in (production, transport and distribution), and in Iraq, the electric power sector has suffered from many problems and obstacles, as providing electric current is one of the most prominent difficulties and challenges That successive governments and residents have faced since the early nineties of the last century and are still ongoing, and that Iraq has all the climatic conditions for developing the work of the electricity system from renewable energies such as solar and hydroelectric energy, as well as gas fields that have become a Basic pillar of pow
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The grey system model GM(1,1) is the model of the prediction of the time series and the basis of the grey theory. This research presents the methods for estimating parameters of the grey model GM(1,1) is the accumulative method (ACC), the exponential method (EXP), modified exponential method (Mod EXP) and the Particle Swarm Optimization method (PSO). These methods were compared based on the Mean square error (MSE) and the Mean Absolute percentage error (MAPE) as a basis comparator and the simulation method was adopted for the best of the four methods, The best method was obtained and then applied to real data. This data represents the consumption rate of two types of oils a he
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