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Enhancing Pediatric Nursing Skills by Top Learning Strategies
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Background: The efficacy of educational strategies is crucial for nursing students to competently perform pediatric procedures like nasogastric tube insertion. Specific Background: This study evaluates the effectiveness of simulation, blended, and self-directed learning strategies in enhancing these skills among nursing students. Knowledge Gap: Previous research lacks a comprehensive comparison of these strategies' impacts on skill development in pediatric nursing contexts. Aims: The study aims to assess the effectiveness of different educational strategies on nursing students' ability to perform pediatric nasogastric tube insertions. Methods: A pre-experimental design was employed at the College of Nursing, University of Baghdad, involving 60 students divided into three groups. Data were collected via an observational checklist from October to December 2023 and analyzed using SPSS. Results: Significant improvements in students' skills were observed across all groups. Simulation strategy showed highly significant differences with p-values of .001 and large effect sizes (Partial Eta Squared: .887, .902, .582). Blended strategy also demonstrated significant results with p-values of .001 and large effect sizes (Partial Eta Squared: .813, .936, .883). The self-directed strategy was similarly effective, with p-values of .001 and large effect sizes (Partial Eta Squared: .871, .739, .667). Descriptive statistics revealed a notable increase in mean scores in post-tests, indicating the effectiveness of these strategies. Novelty: This study uniquely compares the effectiveness of simulation, blended, and self-directed learning strategies, providing comprehensive insights into their impacts on pediatric nursing education. Implications: The findings underscore the importance of incorporating diverse learning strategies in nursing curricula to enhance practical skills, suggesting that a combination of these methods could be most beneficial for student learning and competence in clinical settings. Highlights:   Effective Strategies: Simulation, blended, and self-directed learning enhance pediatric nursing skills. Significant Improvement: All methods showed highly significant skill development with large effect sizes. Unique Comparison: The study provides valuable insights for nursing education curricula.   Keywords: Nursing education, pediatric skills, nasogastric tube insertion, simulation learning, blended learning

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Publication Date
Sun Feb 25 2024
Journal Name
Baghdad Science Journal
Oil spill classification based on satellite image using deep learning techniques
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 An oil spill is a leakage of pipelines, vessels, oil rigs, or tankers that leads to the release of petroleum products into the marine environment or on land that happened naturally or due to human action, which resulted in severe damages and financial loss. Satellite imagery is one of the powerful tools currently utilized for capturing and getting vital information from the Earth's surface. But the complexity and the vast amount of data make it challenging and time-consuming for humans to process. However, with the advancement of deep learning techniques, the processes are now computerized for finding vital information using real-time satellite images. This paper applied three deep-learning algorithms for satellite image classification

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Publication Date
Tue Dec 01 2020
Journal Name
Baghdad Science Journal
Detection of Suicidal Ideation on Twitter using Machine Learning & Ensemble Approaches
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Suicidal ideation is one of the most severe mental health issues faced by people all over the world. There are various risk factors involved that can lead to suicide. The most common & critical risk factors among them are depression, anxiety, social isolation and hopelessness. Early detection of these risk factors can help in preventing or reducing the number of suicides. Online social networking platforms like Twitter, Redditt and Facebook are becoming a new way for the people to express themselves freely without worrying about social stigma. This paper presents a methodology and experimentation using social media as a tool to analyse the suicidal ideation in a better way, thus helping in preventing the chances of being the victim o

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Publication Date
Wed Feb 01 2023
Journal Name
Journal Of Engineering
An Empirical Investigation on Snort NIDS versus Supervised Machine Learning Classifiers
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With the vast usage of network services, Security became an important issue for all network types. Various techniques emerged to grant network security; among them is Network Intrusion Detection System (NIDS). Many extant NIDSs actively work against various intrusions, but there are still a number of performance issues including high false alarm rates, and numerous undetected attacks. To keep up with these attacks, some of the academic researchers turned towards machine learning (ML) techniques to create software that automatically predict intrusive and abnormal traffic, another approach is to utilize ML algorithms in enhancing Traditional NIDSs which is a more feasible solution since they are widely spread. To upgrade t

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Publication Date
Tue Dec 05 2023
Journal Name
Baghdad Science Journal
AlexNet-Based Feature Extraction for Cassava Classification: A Machine Learning Approach
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Cassava, a significant crop in Africa, Asia, and South America, is a staple food for millions. However, classifying cassava species using conventional color, texture, and shape features is inefficient, as cassava leaves exhibit similarities across different types, including toxic and non-toxic varieties. This research aims to overcome the limitations of traditional classification methods by employing deep learning techniques with pre-trained AlexNet as the feature extractor to accurately classify four types of cassava: Gajah, Manggu, Kapok, and Beracun. The dataset was collected from local farms in Lamongan Indonesia. To collect images with agricultural research experts, the dataset consists of 1,400 images, and each type of cassava has

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Publication Date
Sat Apr 01 2023
Journal Name
The Ocular Surface
Detecting dry eye from ocular surface videos based on deep learning
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Publication Date
Thu Dec 16 2021
Journal Name
Translational Vision Science & Technology
A Hybrid Deep Learning Construct for Detecting Keratoconus From Corneal Maps
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Publication Date
Sat Feb 01 2014
Journal Name
Journal Of Economics And Administrative Sciences
Application Effect of the Conflict Management Strategies On Increasing Workers Productivity at the Electricity Company (IGEC) (Field Study Irbid Governorate)
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Research aimed to explore the Application Effect of the Conflict Management Strategies by the managements to solve conflict between and inside the conflicted parties within (IGEC) to increase the productivity of the workers. To collect data, 110 questioners had been distributed among managers and heads of departments of all managerial levels, 102 answered questioners regained, 5 of them were disqualify for statistical analytic, only 97 were taking in consideration   for statistical analysis presenting 93% of the retained number.

SPSS Program supported with a group of statistical tools, had been used for analysis purposes such as Kronbach Alpha test to assure the validity & stability of the t

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Publication Date
Sun Dec 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
Adopting the Crowdsourcing in Activation Strategic Foresight for Leaderships Towards Managerial Reforming Strategies Selection A Suggested Study for Managerial Leadership
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Abstract                                                                                                            

Environmental data (whether pre-emptive or responsive perspect

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Publication Date
Thu Jun 01 2017
Journal Name
Journal Of Economics And Administrative Sciences
The role of loyal workers enhance market share center the human resource management strategies / field research in cellular telecommunication companies
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The problem for the search to identify the role of loyal workers through (emotional loyalty, moral loyalty, continued loyalty) in enhancing the market share of the corporate center the human resource management strategies, namely (selection, training and development, and performance evaluation, and returns the system) for the parent company of cellular Allotsalat in Baghdad ,, and show the importance of research through the benefit to the company, through the importance of the search results, it draws the attention of decision-makers and those in charge of managing these human resources on the importance of those resources and work to develop them and keep them in order to increase their loyalty towards their organization and the

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Publication Date
Thu Oct 01 2015
Journal Name
Journal Of Educational And Psychological Researches
Leadership skills in boos department in collages of Baghdad University from staff point of view
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                           This research   included recent skills of transformed ieadership ,its five aspect and they are(transformed,speech of boos,chorus co-0perative work,behavior adjustment of values,common view point,understanding,and apologizing)Thescale is being made for these five aspects and it  done on sample of Baghdad university staff and the sample consist of(424)teacher of both genders.The study found out existence of  transformedskills of leadership    for  girls  .             &

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