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The Outcomes of Integrating High Fidelity Simulation in Nursing Education: An Integrative Review

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Open Journal of Nursing 2018年第5期8卷 292-302页

作者： ahmad ayed Inaam Khalaf School of Nursing Arab American University Jenin Palestine School of Nursing The University of Jordan Amman Jordan

Purpose: The purpose of this review was to identify the best evidence on the effectiveness of using high fidelity simulation technology for learning outcomes in nursing education. Methods: An integrative review was used to assess the effectiveness of high fidelity simulation in nursing education. Data search was between 2008 to 2018 using Google Scholar, Scopus, Web of Science, Science Direct, Pub Med, Medline, CINAHL, EBSCO, Cochrane, ERIC, Joanna Briggs Institute and EBSCO host. A total of 17 articles met the eligibility criteria. Results: The seventeen reviewed articles were adopted mixed method designs, randomized controlled trial, quazi-experimental, and correlational studies. Themes were: self-satisfaction and confidence, clinical decision-making, and clinical judgment. Conclusion: Nursing literature supports the importance of including high fidelity simulation in nursing education. HFS provides diverse learning experiences, promotes decision-making and clinical judgment, self-satisfaction and self-confidence to develop assessment and safe practice. Implication: Nursing educators can create a variety of patient conditions for collaborative nursing care for increasing learning outcomes.

关键词： High Fidelity Simulation Nursing Education Students

A Descriptive Cross-Sectional Study to Assess the Perception and Knowledge of Staff Nurses regarding Physical Restrains

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Open Journal of Nursing 2019年第3期9卷 239-248页

作者： Imad Fashafsheh Salwa Mohamed ahmad ayed Deyaaldeen ALRababah Nursing Department University of Bisha Bisha Saudi Arabia Nursing College Arab American University Jenin Palestine Nursing College Fayoum University Fayoum Egypt Alfarabi Colleges of Dentistry and Nursing Riyadh Saudi Arabia

Purpose: The purpose of this study was to examine the perceptions and knowledge regarding physical restraint used among registered nurses (RNs) and nursing assistants (NAs). Method and Sample: A descriptive cross-sectional design was used. A convenient sample was recruited from nursing staff from Palestinian and Saudi Hospitals. Perceptions of Restraint Use Questionnaire (PRUQ) were used [1]. Results: A total of 144 nursing staffs were included. Physical restraint use was perceived as more important in some circumstances than others. In the critical care unit/ICU, the most important perceived reason for physical restraint use was protecting from falling out of bed and preventing removing dressing. There were significant differences of overall score for the PRUQ among all nursing staff according to hospital, t (142) = 8.74, P = 0.001. The mean of Saudi Arabia hospitals group (M = 4.56) was higher than the mean of Palestinian hospital group (M = 3.67). At the same time, there were significant differences of overall score for the PRUQ among all nursing staff according to specialized education in geriatrics, t (40) = 3.60, P = 0.001. The mean of no specialized education in geriatrics group (M = 4.13) was higher than the mean of yes specialized education in geriatrics group (M = 3.69). Conclusion and Implications: Nursing staff showed positive attitudes towards restrains application with difference between Palestinian and Saudi Arabian nurses. Proper implementation and good awareness of the complications are prerequisite for application of physical restrains for patients.

关键词： Perception Knowledge Nursing Staff Physical Restraints

Midwives and Nurses Compliance with Standard Precautions in Palestinian Hospitals

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Open Journal of Nursing 2016年第4期6卷 294-302页

作者： Imad Fashafsheh ahmad ayed Mahdiah Koni Safaa Hussein Imad Thultheen AL-Farabi Colleges Dentistry-Medicine-Nursing Riyadh KSA Department of Nursing Arab American University Jenin Palestine Department of Nursing An-Najah National University Nablus Palestine

Midwives and nurses should use the standard precautions as the basic level of infection control precautions when delivering care to all patients, regardless of their presumed infection status. Therefore midwifes and nurses should have sound knowledge and compliance with standard precaution. Aim of the study: The study aimed to assess the level of the compliance of standard precautions among the midwives and nurses in the Palestinian Hospitals. Method: A cross sectional study was conducted from May to June 2015 on 81 midwives and nurses from Palestinian hospitals. The data were collected from labor rooms and postpartum departments of Palestinian hospitals. Data were collected using pretested questionnaire on 81 midwives and nurses selected by convenience sample. Results: The current study showed that the average of standard precautions knowledge level and compliance are 74.6% and 83.8% respectively. There are an association between age, education, work experience, and compliance with standard precautions at p p < 0.05 (0.191). Conclusion: The midwives and nurses in the current study for both knowledge and compliance have high level regarding standard precautions. There is an association between age, education, work experience, and compliance with standard precautions. Recommendations: Knowledge of midwives and nurses should be updated;the importance of latest evidence-based practices of infection control in continuing education/training program should be emphasized;and training programs for newly midwives and nurses about standard precaution and at regular intervals should be provided.

关键词： Nurses Midwives Compliance Standard Precautions

The Impact of Concept Mapping on Caring Efficacy of Palestinian Nursing Students at Clinical Setting

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Open Journal of Nursing 2019年第1期9卷 59-67页

作者： Dalia A. Toqan Inaam A. Khalaf ahmad J. ayed Faculty of Nursing Arab American University Jenin Palestine School of Nursing The University of Jordan Amman Jordan

Background: The rapid change of health care delivery affirms the need for a change in the culture of nursing education through identifying the challenge to nursing faculty that many teach in the way they were taught, and suggesting a focus on the exploration of new teaching methods and student learning, rather than only focus on content coverage. Objectives: To examine the impact of concept mapping on caring efficacy of Palestinian nursing students. Methods: A quasi-experimental design, pre-post test, two groups (intervention and control group) were used. Convenience sample of 80 (40 participants in each group) nursing students from Arab American University, Jenin. Caring Efficacy was measured by Caring Efficacy Scale. The statistical tests such as t-test (independent and paired t-test) were used to examine the effect of concept mapping on caring efficacy of the fourth year nursing students at their clinical training. Results: Independent-samples t-test revealed statistically significant differences between the two groups in caring efficacy (t = 2.589, df = 78, P = 0.011);students in the intervention group showed higher level of caring efficacy than students in the control group during their clinical training. Conclusion: Concept mapping was found to be an effective teaching method for nursing students. The use of concept mapping is useful in enhancing meaningful learning.

关键词： Concept Mapping Caring Efficacy Nursing Education Students

Nurse’s Perception of Barriers to Research Utilization in Hospitals;Comparative Descriptive Study

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Open Journal of Nursing 2020年第1期10卷 1-14页

作者： Imad H. Fashafsheh ahmad ayed Jafer A. Mohammed Yasir A. Alotaibi Nursing Department University of Bisha Bisha KSA Nursing Arab American University Jenin Palestine Dentistry and Nursing Alfarabi Colleges of Medicine Riyadh KSA

Background: Although the number of studies on research utilization is steadily growing, but still there is a strong need to identify the main causes that inhibit the use of research findings in the clinical setting. Aim of the Study: To assess nurse’s perception of barriers to research utilization in Saudi Arabia and Palestine Hospitals. This study focuses on medical and surgical nurses in private hospitals. Method: A convenient sample of 156 medical nurses, from 6 general private hospitals, 3 from north Palestine and 3 from Riyadh City (KSA). Results: Out of 180 nurses employed from private hospitals, a total of 156 questionnaires were returned (response rate 86.67%). Results in a final sample size for analysis of 156. The demographic characteristics, age, gender, hospital, role on health care team, clinical experience, marital status, education degree, and current certified in a special area of respondents are shown in Table 1. Their mean age was 29.41, about half of them below 6-year clinical experience 77 (49.4%). Although around 90 (57.7%) of the participants from Palestine hospitals and 66 (42.3%) from Saudi Arabia hospitals, almost half of them their education (diploma) 85 (54.5%). In addition, 114 (73.1%) were female, 85 (54.5%) have current certified in a special area, and 140 (89.7%) respondents worked as staff nurses. Regarding perceptions of barriers to research utilization, the results of the barriers show in the total scale a mean of 3.15 out of 5 f (SD = 0.55;95% CI 3.05 to 3.23). The subscales of setting and research were the highest one (mean = 3.22, SD = (0.63), and the lowest one is “nurse” (mean = 2.95, SD = 0.75). Conclusions: The main barriers of research utilization in practice for nurse are nurses themselves, the setting in the hospitals and research in its process and findings.

关键词： Nurses Perception Research Utilization Barriers

Solid Waste Management:A MADM Approach Using Fuzzy Parameterized Possibility Single-Valued Neutrosophic Hypersoft Expert Settings

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 531-553页

作者： Tmader Alballa Muhammad Ihsan Atiqe Ur Rahman Noorah ayed Alsorayea Hamiden Abd El-Wahed Khalifa Department of Mathematics College of SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia 2 Department of Mathematics University of Management and TechnologyLahore54000Pakistan Department of Mathematics College of ScienceQassim UniversityBuraydah51452Saudi Arabia

The dramatic rise in the number of people living in cities has made many environmental and social problems *** search for a productive method for disposing of solid waste is the most notable of these *** scholars have referred to it as a fuzzy multi-attribute or multi-criteria decision-making problem using various fuzzy set-like approaches because of the inclusion of criteria and anticipated *** goal of the current study is to use an innovative methodology to address the expected uncertainties in the problem of solid waste site *** characteristics(or sub-attributes)that decision-makers select and the degree of approximation they accept for various options can both be indicators of these *** tackle these problems,a novel mathematical structure known as the fuzzy parameterized possibility single valued neutrosophic hypersoft expert set(ρˆ-set),which is initially described,is integrated with a modified version of Sanchez’s *** this,an intelligent algorithm is *** steps of the suggested algorithm are explained with an example that explains *** compatibility of solid waste management sites and systems is discussed,and rankings are established along with detailed justifications for their *** study’s strengths lie in its application of fuzzy parameterization and possibility grading to effectively handle the uncertainties embodied in the parameters’nature and alternative approximations,*** uses specific mathematical formulations to compute the fuzzy parameterized degrees and possibility grades that are missing from the prior *** is simpler for the decisionmakers to look at each option separately because the decision is *** the computed results,it is discovered that they are consistent and dependable because of their preferred properties.

关键词： Hypersoft expert set Sanchez’s method decision making optimization solid waste management possibility grade fuzzy parameterization

Emerging insights into the function of very long chain fatty acids at cerebellar synapses

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Neural Regeneration Research 2025年第6期20卷 1709-1710页

作者： Martin-Paul Agbaga Mohiuddin ahmad Department of Cell Biology and Ophthalmology University of Oklahoma Health Sciences Centerand Dean McGee Eye InstituteOklahoma CityOKUSA

Very long chain-saturated and-polyunsaturated fatty acids(VLC-SFA and VLC-PUFA, respectively) are a functionally important class of fatty acids containing 28 carbons or more in their acyl chain. They are synthesized by the elongation of very long fatty acids-4(ELOVL4) enzyme, expressed mainly in the brain, retina, skin, testes, and meibomian gland, where these fatty acids are found(Agbaga et al., 2008). Further, these organs exhibit tissuespecific VLC-PUFA and VLC-SFA biosynthesis and incorporation into complex lipids for specific functions. In the brain, skin, and Meibomian glands, the ELOVL4 mainly makes VLC-SFA, which are incorporated into complex sphingolipids. In the retina, the ELOVL4 makes VLC-PUFA that are incorporated into phosphatidylcholine, that are critical for visual function, while in testes and sperm, the VLC-PUFA are incorporated into sphingolipids that are critical for fertility(Yeboah et al., 2021).

关键词： functions function insight

Secure Channel Estimation Using Norm Estimation Model for 5G Next Generation Wireless Networks

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Computers, Materials & Continua 2025年第1期82卷 1151-1169页

作者： Khalil Ullah Song Jian Muhammad Naeem Ul Hassan Suliman Khan Mohammad Babar Arshad ahmad Shafiq ahmad Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming650500China Department of Computer Science Abbottabad University of Science and TechnologyHavelianAbbottabad22500Pakistan Department of Computing and Electronics Engineering Middle East CollegeMuscat124Oman Department of CS&IT Pak-Austria Fachhochschule Institute of Applied Sciences and Technology MangHaripur22621Pakistan Industrial Engineering Department College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia

The emergence of next generation networks(NextG),including 5G and beyond,is reshaping the technological landscape of cellular and mobile *** networks are sufficiently scaled to interconnect billions of users and *** in academia and industry are focusing on technological advancements to achieve highspeed transmission,cell planning,and latency reduction to facilitate emerging applications such as virtual reality,the metaverse,smart cities,smart health,and autonomous *** continuously improves its network functionality to support these *** input multiple output(MIMO)technology offers spectral efficiency,dependability,and overall performance in *** article proposes a secure channel estimation technique in MIMO topology using a norm-estimation model to provide comprehensive insights into protecting NextG network components against adversarial *** technique aims to create long-lasting and secure NextG networks using this extended *** viability of MIMO applications and modern AI-driven methodologies to combat cybersecurity threats are explored in this ***,the proposed model demonstrates high performance in terms of reliability and accuracy,with a 20%reduction in the MalOut-RealOut-Diff metric compared to existing state-of-the-art techniques.

关键词： Next generation networks massive mimo communication network artificial intelligence 5G adversarial attacks channel estimation information security

IDSSCNN-XgBoost:Improved Dual-Stream Shallow Convolutional Neural Network Based on Extreme Gradient Boosting Algorithm for Micro Expression Recognition

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Computers, Materials & Continua 2025年第1期82卷 729-749页

作者： Adnan ahmad Zhao Li Irfan Tariq Zhengran He School of Information Science and Engineering Southeast UniversityNanjing210016China

Micro-expressions(ME)recognition is a complex task that requires advanced techniques to extract informative features fromfacial *** deep neural networks(DNNs)with convolutional structures have been ***,unlike DNNs,shallow convolutional neural networks often outperform deeper models in mitigating overfitting,particularly with small ***,many of these methods rely on a single feature for recognition,resulting in an insufficient ability to extract highly effective *** address this limitation,in this paper,an Improved Dual-stream Shallow Convolutional Neural Network based on an Extreme Gradient Boosting Algorithm(IDSSCNN-XgBoost)is introduced for ME *** proposed method utilizes a dual-stream architecture where motion vectors(temporal features)are extracted using Optical Flow TV-L1 and amplify subtle changes(spatial features)via EulerianVideoMagnification(EVM).These features are processed by IDSSCNN,with an attention mechanism applied to refine the extracted effective *** outputs are then fused,concatenated,and classified using the XgBoost *** comprehensive approach significantly improves recognition accuracy by leveraging the strengths of both temporal and spatial information,supported by the robust classification power of *** proposed method is evaluated on three publicly available ME databases named Chinese Academy of Sciences Micro-expression Database(CASMEII),Spontaneous Micro-Expression Database(SMICHS),and Spontaneous Actions and Micro-Movements(SAMM).Experimental results indicate that the proposed model can achieve outstanding results compared to recent *** accuracy results are 79.01%,69.22%,and 68.99%on CASMEII,SMIC-HS,and SAMM,and the F1-score are 75.47%,68.91%,and 63.84%,*** proposed method has the advantage of operational efficiency and less computational time.

关键词： ME recognition dual stream shallow convolutional neural network euler video magnification TV-L1 XgBoost