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A PhD Research Effectiveness of Nurse’s Knowledge and Practices Program Toward Care of Patient Undergoing Cardiopulmonary Bypass
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Abstract

Objective : the aim of the study is to evaluate the effectiveness of nurse’s practices and knowledge program toward care of patient with cardiopulmonary bypass .Methodology: A pre-experimental design (one group pretest- posttest design) was used to carry out this study in three governmental hospitals in Baghdad ( Iraqi Centre for Heart Diseases , Ibn – Albitar Centre for Cardiac Surgery and Ibn – Alnafees Centre for Cardiothoracic and Vascular Surgery ) for the period from 15th of May 2022 into 20th of April 2023.The construction and development of the program and instruments had carry out by the researcher to measured the purposes of the study , twenty two nurses was purposively assigned for the study group . The study instrument consisted from three parts ,socio – demographic data that consist from ( 4 ) items , knowledge part that consist from ( 25 ) items , and observational checklist for practices part that consist from ( 26 ) items . Descriptive and inferential statistics was used to analyse the study data .Results : The results of the study presented that effect of nurses practices and knowledge program toward care of patient with cardiopulmonary bypass was positive with highly significant level between pretest and posttest for knowledge and practices. Conclusion :Nursing care for the patient with cardiopulmonary bypass have been improved related to the enhancement of nursing staff knowledge and practices toward cardiopulmonary bypass.Recommendations : The study recommended to apply this program as apart of continues education in hospital that perform cardiac surgery in Iraq , also encourage the ministry of health to provide educational programs that depending on standards guidelines and advanced research on cardiopulmonary bypass .

 

 

 

 

 

 

 

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Publication Date
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Publication Date
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Evaluating AI Language Models in News Retrieval: A Comparative Study Of ChatGPT-Plus and DeepSeek (R1)
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The increasing complexity of how humans interact with and process information has demonstrated significant advancements in Natural Language Processing (NLP), transitioning from task-specific architectures to generalized frameworks applicable across multiple tasks. Despite their success, challenges persist in specialized domains such as translation, where instruction tuning may prioritize fluency over accuracy. Against this backdrop, the present study conducts a comparative evaluation of ChatGPT-Plus and DeepSeek (R1) on a high-fidelity bilingual retrieval-and-translation task. A single standardize prompt directs each model to access the Arabic-language news section of the College of Medicine, University of Baghdad, retrieve the three most r

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Alienation in Contemporary Sculpture between the Works of Anthony Caro and Tony Cragg (A Comparative Study)
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Publication Date
Mon Jan 01 2024
Journal Name
Journal Of Business, Communication & Technology
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The oil and gas industry relies heavily on IT innovations to manage business processes, but the exponential generation of data has led to concerns about processing big data, generating valuable insights, and making timely decisions. Many companies have adopted Big Data Analytics (BDA) solutions to address these challenges. However, determining the adoption of BDA solutions requires a thorough understanding of the contextual factors influencing these decisions. This research explores these factors using a new Technology-Organisation-Environment (TOE) framework, presenting technological, organisational, and environmental factors. The study used a Delphi research method and seven heterogeneous panelists from an Oman oil and gas company

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