Abstract
Objectives: The study is carried out to assess functional performance for heart's valve replacement patients and find out relationship with sociodemographic data and clinical data
Methodology: Descriptive design is carried out at cardiac surgery centers in Baghdad ; Ibn -Al Betar Specialized for cardiac surgery center and Al-Iraqi center for cardiac disease. its initiation from December28the 2013 to September 1st 2014,A non- probability (purposive) sample of 50 adults patients are attended cardiac surgery centers at Baghdad city and who have heart valves replacement. The data collection through development of questionnaire which is composed from three parts(socio demographic data, clinical information, functional performance) after validity and reliability , validity has been determined through (15) experts and reliability has been determined through pilot study, The data are descriptive statistical and analysis through application of descriptive and inferential statistical methods.
Results: The result of the study has revealed that level of Functional Performance for the patients post heart's valve replacement were(80%) moderate and (20%)low majority of the study samples (92%)have regular up take of the anticoagulation drugs and majority of the samples(92%) have mechanical valve implementation ,The results of the study represent a significant statistical correlation between the level of Functional Performance for patients post heart's valve replacement group and the age p=0.042* , level education p=0.008*, socio economic status p=0.004*, ejection fraction p=0.044* ,follow up of the patients p=0.042* , regular up take of the anticoagulation drugs p=0.004*, mechanical valve used p=0.05*, duration post operation p=0.044*
Recommendations : The study recommended to using biologic valve (tissue valve) for elderly patient instead mechanical valve when valve replacement to reduce complication anticoagulation drugs and enhance survival post operation, establishing Psychological consultation to copy the patients with emotional and social impact which results from the operation, an education program should be designed to increase patients education about self-care and increase satisfaction with care ,use education and training programs (regular lectures for nursing staff) to improving the expertise and knowledge of nurses to play an essential role in fostering patients care and prevent valve infection.
Stick- slip is the continuous stopping& release of the Bit/BHA due to the irregular down-hole rotation prompted by the existing relationship between the friction torque and the torque applied from the surface to free the bit.
Friction coefficient between BHA and wellbore is the main player of stick slip amount, which can be mitigated by support a good lubricators as additives in drilling mud.
Mathematical (or empirical) solves should be done through adjusting all parameters which supposed to reduce stick- slip as low as possible using different models, one of the main parameters is drilling mud. As per Nanoparticles drilling fluid is a new technology that offers high performance
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PubMed, Cochrane and Medline were searched for relevant articles published before February 2021 following PRISMA guidelines. The search was conducted by three indep
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This study was conducted to estimate the extent of damage to the population in Basra, southern Iraq, specifically the areas adjacent to the Shatt al-Arab and the Arabian Gulf, which are the Al-Fao district and the Al-Siba region. They are affected by the progression of saline water resulting from the lack of water imports and the Karun River interruption, which led to high concentrations of salts in the Shatt Al-Arabs. Consequently, its effect on lands and all life types in these areas requires correcting a map of the study area to drop the groundwater sites as well as calculate the total dissolved salts, electrical conductivity and pH. This study concluded that the groundwater contains very high percentages of total dissolved solid
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In recent decades, the identification of faces with and without masks from visual data, such as video and still images, has become a captivating research subject. This is primarily due to the global spread of the Corona pandemic, which has altered the appearance of the world and necessitated the use of masks as a vital measure for epidemic prevention. Intellectual development based on artificial intelligence and computers plays a decisive role in the issue of epidemic safety, as the topic of facial recognition and identifying individuals who wear masks or not was most prominent in the introduction and in-depth education. This research proposes the creation of an advanced system capable of accurately identifying faces, both with and
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