Objectives: To identify quality of life (QOL) in Myocardial Infarction (MI) patients, and to find out the
relationship between QOL in MI patients and demographic characteristics.
Methodology: A descriptive colTelation study which utilized an assessment approach. The study was carried out
from March 2007 through November 2007 in order to assess the quality of life for patients with myocardial
infarction. A purposive "non-probability" sample of (75) patients with myocardial infarction who were attending
to Baquba General Hospita`l through their visits to that hospital. A questionnaire was adapted and developed
from the World Health Organization Quality of Life Scale (1998). The questionnaire was designed and
consisted of (2) parts, the fust part includes demographic characteristics of Myocardial Infarction patients,
clinical characteristics of these patients and medical sheet information. The second one consists of six domains
of quality of life. Reliability was determined by using test and retest technique through a Pilot study. Data were
analyzed through descriptive data analysis approach (Frequency and percentage) and the inferential data analysis
approach (Pearson con.elation coefficient and chi-square).
Results: The results of the study indicated that (53.3%) of the sample was male and (41.7%), age between (61-
70) years, (68.0%) was married and more than two third of sample were unable to read and write, (44%) of the
sample was housewife (do not work). The findings of the study present that the demographic characteristics of
MI patients such as gender, level of education had a significant relationship with their quality of life. The
socioeconomjc characteristics of patients such as marital status hnd no significant relationship with the patients'
quality of life. The finding also shows disease had moderate, low and no effect on quality of life through the
relative sufficiency from the spiritual domain (RS=83.8), the independence (RS=76.9), psychological domain
(RS=76.7), physical domain (RS=74.6), social domain a`S=69.9), and environment domain (RS=62.3).
Recommendations: The study recommended that an educational program for MI patients to help them have a
better QOL and advice them how to cope with their problems for a good QOL.
The issue of image captioning, which comprises automatic text generation to understand an image’s visual information, has become feasible with the developments in object recognition and image classification. Deep learning has received much interest from the scientific community and can be very useful in real-world applications. The proposed image captioning approach involves the use of Convolution Neural Network (CNN) pre-trained models combined with Long Short Term Memory (LSTM) to generate image captions. The process includes two stages. The first stage entails training the CNN-LSTM models using baseline hyper-parameters and the second stage encompasses training CNN-LSTM models by optimizing and adjusting the hyper-parameters of
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As a result of the significance of image compression in reducing the volume of data, the requirement for this compression permanently necessary; therefore, will be transferred more quickly using the communication channels and kept in less space in memory. In this study, an efficient compression system is suggested; it depends on using transform coding (Discrete Cosine Transform or bi-orthogonal (tap-9/7) wavelet transform) and LZW compression technique. The suggested scheme was applied to color and gray models then the transform coding is applied to decompose each color and gray sub-band individually. The quantization process is performed followed by LZW coding to compress the images. The suggested system was applied on a set of seven stand
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This investigation integrates experimental and numerical approaches to study a novel solar air heater aimed at achieving an efficient design for a solar collector suitable for drying applications under the meteorological conditions of Iraq. The importance of this investigation stems from the lack of optimal exploitation of solar energy reaching the solar collector, primarily attributable to elevated thermal losses despite numerous designs employed in such solar systems. Consequently, enhancing the thermal performance of solar collectors, particularly those employed in crop drying applications, stands as a crucial focal point for researchers within this domain. Two identical double-pass solar air heaters were designed and constructed for
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