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Quality of Nursing Courses as Perceived by Students: Relationship with Their Academic Achievement in Palestine College of Nursing

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Open Journal of Nursing 2015年第1期5卷 36-48页

作者： Yousif mahmoud awad Faculty of Intermediate Studies University of Palestine Gaza Strip Gaza Palestine

The purpose of this study was to determine the Bachelor Science of Nursing (BSN), student’s perceptions of the quality of nursing courses taught at Palestine College of Nursing (PCN), which were fundamentals of nursing course, adult nursing course, pediatric nursing course, maternity nursing course, community nursing course, mental health and psychiatric nursing course and nursing management and leadership course, and its relationship with their academic achievement. The Palestine College of Nursing is governmental and Ministry of Health (MOH) affiliated. The sample included 467 nursing students registered in the college who studied the previously mentioned nursing courses. Data were collected using a self-administered questionnaire developed by the researcher, and guided by literature. That was to assess the included nine quality dimensions of the nursing courses as perceived by the students. Content validity and reliability tests were done for the tool. The study revealed that the total students’ perceptions of the quality of all nurses courses were within average quality level (80.42%). The nursing management course and community health nursing course were of the first two ranks of high quality level (84.54%, and 84.48%, respectively), where mental health and psychiatric nursing course, fundamentals of nursing course, adult health nursing course, pediatric nursing course and maternity health nursing course were the next ranks of average quality level. The study revealed that students’ perceptions of seven dimensions from nine were with average quality level (80.50%). The first rank was the “teacher/instructor characteristics and attributes”, dimension of high quality level (84.44%), while the last rank was “teaching methodology” dimension of average quality level (77.54%). There was a positive relationship between students’ achievement and the courses’ quality dimensions, pertaining objectives of the course, contents of the course, teacher/instructor competencies

关键词： Nursing Education Quality Curriculum Student’s Perceptions Achievement

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New onset hypertension after transplantation

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World Journal of Transplantation 2022年第3期12卷 42-54页

作者： mahmoud Nassar Nso Nso Sofia Lakhdar Ravali Kondaveeti Chandan Buttar Harangad Bhangoo mahmoud awad Naveen Siddique Sheikh Karim M Soliman Most Sirajum Munira Farshid Radparvar Vincent Rizzo Ahmed Daoud Department of Medicine Icahn School of Medicine at Mount Sinai(NYC Health and Hospitals:Queens)New YorkNY 11432United States Department of Medicine The Memorial Souad Kafafi University Hospital6th of October-Giza 0000Egypt Department of Physiology CMH Lahore Medical College and Institute of DentistryLahore-Punjab 0000Pakistan Department of Medicine Medical University of South CarolinaCharlestonSC 29425United States Division of Cardiology Department of MedicineIcahn School of Medicine at Mount Sinai(NYC Health and Hospitals:Queens)New YorkNY 11432United States Department of Medicine Kasr Alainy Medical SchoolCairo UniversityCairo 11211Egypt

It has been reported that up to 90%of organ transplant recipients have suboptimal blood pressure *** hypertension is a well-known culprit of cardiovascular and overall morbidity and *** addition,rigorous control of hypertension after organ transplantation is a crucial factor in prolonging graft ***,hypertension after organ transplantation encompasses a broader range of causes than those identified in non-organ transplant ***,specific management awareness of those factors is *** in-depth understanding of hypertension after organ transplantation remains a debatable issue that necessitates further *** article provides a comprehensive review of the prevalence,risk factors,etiology,complications,prevention,and management of hypertension after organ transplantation.

关键词： New onset Hypertension Organ Transplantation Renal

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Predictors for Metachronous Metastases in Early Breast Cancer: A Single Institution Study

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Advances in Breast Cancer Research 2021年第3期10卷 87-99页

作者： Haytham mahmoud awad Fayed Mohamed Ali Abdalla Billel Galal Mostafa Abouelnagah Gehan A. Khedr Surgical Oncology Department Alexandria Faculty of Medicine Alexandria University Alexandria Egypt Clinical Oncology Department Alexandria Faculty of Medicine Alexandria University Alexandria Egypt

Background: Breast cancer (BC) is considered the most common women cancer worldwide. The main clinicopathological prognostic factors are tumor size, lymph node status and estrogen/progesterone (ER/PR) receptor status. In addition, some factors are both prognostic and predictive as ER/PR receptors and HER2/neu overexpression. Axillary lymph node status is the most important prognostic factor for breast cancer. Node negative breast cancer patients had the best 5-year overall survival (OS) of 82.8% compared to 73%, 45.7%, and 28.4% for patients with 1 - 3, 4 - 12, and ≥13 positive nodes, respectively. The aim of this study was to determine the association between different clinicopathological features and development of metastasis in a group of Egyptian women with early breast cancer, also, to assess patients’ Relapse-free survival (DFS) and OS and their correlation with different clinicopathological features. Patients and Methods: We retrospectively reviewed the files of breast cancer patients who were treated and <

关键词： Breast Cancer Metastasis Relapse Free Survival Overall Survival

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Improving Reconstructed Image Quality via Hybrid Compression Techniques

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Computers, Materials & Continua 2021年第3期66卷 3151-3160页

作者： Nancy awadallah awad Amena mahmoud Department of Computer and Information Systems Sadat Academy for Management SciencesCairo11742Egypt Department of Computer Science Kafr el Sheikh University33511Egypt

Data compression is one of the core fields of study for applications of image and video *** raw data to be transmitted consumes large bandwidth and requires huge storage space as a result,it is desirable to represent the information in the data with considerably fewer bits by the mean of data compression techniques,the data must be reconstituted very similarly to the initial *** this paper,a hybrid compression based on Discrete Cosine Transform(DCT),DiscreteWavelet Transform(DWT)is used to enhance the quality of the reconstructed *** techniques are followed by entropy encoding such as Huffman coding to give additional *** coding is optimal prefix code because of its implementation is more simple,faster,and easier than other *** needs less execution time and it is the shortest average length and the measurements for analysis are based upon Compression Ratio,Mean Square Error(MSE),and Peak Signal to Noise Ratio(PSNR).We applied a hybrid algorithm on(DWT–DCT 2×2,4×4,8×8,16×16,32×32)***,we show that by using a hybrid(DWT–DCT)compression technique,the PSNR is reconstructed for the image by using the proposed hybrid algorithm(DWT–DCT 8×8 block)is quite high than DCT.

关键词： Image compression discrete cosine transform PSNR discrete wavelet transform hybrid algorithm

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Analyzing Customer Reviews on Social Media via Applying Association Rule

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Computers, Materials & Continua 2021年第8期68卷 1519-1530页

作者： Nancy awadallah awad Amena mahmoud Department of Computer and Information Systems Sadat Academy for Management SciencesCairo11742Egypt Faculty of computers and Information Department of Computer ScienceKafr el Sheikh UniversityKafr El Sheikh33511Egypt

The rapid growth of the use of social media opens up new challenges and opportunities to analyze various aspects and patterns in ***-text mining,several techniques are available such as information clustering,extraction,summarization,*** this study,a text mining framework was presented which consists of 4 phases retrieving,processing,indexing,and mine association rule *** is applied by using the association rule mining technique to check the associated term with the Huawei P30 Pro *** reviews are extracted from many websites and Facebook groups,such as ***,*** and *** technology,where customers from all over the world placed their notes on cell *** this analysis,a total of 192 reviews of Huawei P30 Pro were collected to evaluate them by text mining *** findings demonstrate that Huawei P30 Pro,has strong points such as the best safety,high-quality camera,battery that lasts more than 24 hours,and the processor is very *** paper aims to prove that text mining decreases human efforts by recognizing significant *** will lead to improving the awareness of customers to choose their products and at the same time sales managers also get to know what their products were accepted by customers suspended.

关键词： Machine learning text mining social media big data association rule document clustering

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Using Semantic Web Technologies to Improve the Extract Transform Load Model

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Computers, Materials & Continua 2021年第8期68卷 2711-2726页

作者： Amena mahmoud mahmoud Y.Shams O.M.Elzeki Nancy awadallah awad Department of Computer Science Kafrelshiekh UniversityKafrelshiekhEgypt Department of Machine Learning Kafrelsheikh UniversityKafrelshiekhEgypt Department of Computer Science Mansoura UniversityMansouraEgypt Department of Computer and Information Systems Sadat Academy for Management SciencesCairoEgypt

Semantic Web(SW)provides new opportunities for the study and application of big data,massive ranges of data sets in varied formats from multiple *** studies focus on potential SW technologies for resolving big data problems,such as structurally and semantically heterogeneous data that result from the variety of data formats(structured,semi-structured,numeric,unstructured text data,email,video,audio,stock ticker).SW offers information semantically both for people and machines to retain the vast volume of data and provide a meaningful output of unstructured *** the current research,we implement a new semantic Extract Transform Load(ETL)model that uses SW technologies for aggregating,integrating,and representing data as linked ***,geospatial data resources are aggregated from the internet,and then a semantic ETL model is used to store the aggregated data in a semantic model after converting it to Resource Description Framework(RDF)format for successful integration and *** principal contribution of this research is the synthesis,aggregation,and semantic representation of geospatial data to solve problems.A case study of city data is used to illustrate the semantic ETL model’s *** results show that the proposed model solves the structural and semantic heterogeneity problems in diverse data sources for successful data aggregation,integration,and representation.

关键词： Semantic web big data ETL model linked data geospatial data

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Predicted Oil Recovery Scaling-Law Using Stochastic Gradient Boosting Regression Model

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Computers, Materials & Continua 2021年第8期68卷 2349-2362页

作者： Mohamed F.El-Amin Abdulhamit Subasi mahmoud M.Selim awad Mousa Energy Research Lab. College of EngineeringEffat UniversityJeddah21478KSA Artificial Intelligence and Cyber Security Research Lab. College of EngineeringEffat UniversityJeddah21478KSA Department of Mathematics-College of Sciences&Humanities in Al Aflaj Prince Sattam bin Abdulaziz UniversityAl-Aflaj11912KSA Department of Physics College of Science&Humanities in Al-AflajPrince Sattam bin Abdulaziz UniversityAl-Aflaj11912KSA Mathematics Department Faculty of ScienceAswan UniversityAswan81528Egypt

In the process of oil recovery,experiments are usually carried out on core samples to evaluate the recovery of oil,so the numerical data are fitted into a non-dimensional equation called *** will be essential for determining the behavior of actual *** global non-dimensional time-scale is a parameter for predicting a realistic behavior in the oil field from laboratory *** non-dimensional universal time parameter depends on a set of primary parameters that inherit the properties of the reservoir fluids and rocks and the injection velocity,which dynamics of the *** of the practical machine learning(ML)techniques for regression/classification problems is gradient boosting(GB)*** GB produces a prediction model as an ensemble of weak prediction models that can be done at each iteration by matching a least-squares base-learner with the current *** a randomization process increases the execution speed and accuracy of *** in this study,we developed a stochastic regression model of gradient boosting(SGB)to forecast oil *** nondimensional time-scales have been used to generate data to be used with machine learning *** SGB method has been found to be the best machine learning technique for predicting the non-dimensional time-scale,which depends on oil/rock properties.

关键词： Machine learning stochastic gradient boosting linear regression time-scale oil recovery

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Physical and Kinematical Characteristics of Wolf–Rayet Central Stars and their Host Planetary Nebulae

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Research in Astronomy and Astrophysics 2023年第9期23卷 219-240页

作者： Z.awad A.Ali Department of Astronomy Space Science and MeteorologyFaculty of ScienceCairo University12613 Giza

We address the physical and kinematical properties of Wolf–Rayet[WR]central stars(CSs)and their host planetary nebulae(PNe).The studied sample comprises all[WR]CSs that are currently *** analysis is based on recent observations of the parallax,proper motion,and color index of[WR]CSs from the Gaia space mission’s early third release(eDR3)catalog,as well as common nebular *** results revealed an evolutionary sequence,in terms of decreasing Teff,from the early hot[WO 1]to the late cold[WC 12]*** evolutionary sequence extends beyond[WR]CS temperature and luminosity to additional CS and nebular *** statistical analysis shows that the mean final stellar mass and evolutionary age of the[WR]CS sample are 0.595±0.13M⊙and 9449±2437 yr,respectively,with a mean nebular dynamical age of 7270±1380 *** addition,we recognize that the color of the majority(∼85%)of[WR]CSs tends to be red rather than their genuine blue *** analysis indicates that two-thirds of the apparent red color of most[WR]s is attributed to the interstellar extinction whereas the other one-third is due to the PN self-extinction effect.

关键词： Wolf-Rayet-(ISM )planetary nebulae general-ISM kinematics and dynamics

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Roll-pitch-yaw autopilot design for nonlinear time-varying missile using partial state observer based global fast terminal sliding mode control

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Chinese Journal of Aeronautics 2016年第5期29卷 1302-1312页

作者： Ahmed awad Wang Haoping Sino-French International Joint Laboratory of Automatic Control and Signal Processing (LaFCAS) School of AutomationNanjing University of Science & Technology

The acceleration autopilot design for skid-to-turn （STT） missile faces a great challenge owing to coupling effect among planes, variation of missile velocity and its parameters, inexistence of a complete state vector, and nonlinear aerodynamics. Moreover, the autopilot should be designed for the entire flight envelope where fast variations exist. In this paper, a design of integrated roll-pitch-yaw autopilot based on global fast terminal sliding mode control （GFTSMC） with a partial state nonlinear observer （PSNLO） for STT nonlinear time-varying missile model, is employed to address these issues. GFTSMC with a novel sliding surface is proposed to nullify the integral error and the singularity problem without application of the sign function. The proposed autopilot consisting of two-loop structure, controls STT maneuver and stabilizes the rolling with a PSNLO in order to estimate the immeasurable states as an output while its inputs are missile measurable states and control signals. The missile model considers the velocity variation, gravity effect and parameters＇ variation. Furthermore, the environmental conditions＇ dynamics are mod- eled. PSNLO stability and the closed loop system stability are studied. Finally, numerical simulation is established to evaluate the proposed autopilot performance and to compare it with existing approaches in the literature.

关键词： Flight control system Global fast terminal slidingmode control Integrated autopilot Nonlinear state observer Skid-to-turn missile

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Folding model calculations for ~6He+^(12)C elastic scattering

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Chinese Physics C 2016年第3期40卷 66-73页

作者： awad A.Ibraheem Physics Department King Khalid University Physics Department Al-Azhar University

In the framework of the double folding model, we used the α＋2n and di-triton configurations for the nuclear matter density of the ~6He nucleus to generate the real part of the optical potential for the system ~6He＋^（12）C. As an alternative, we also use the high energy approximation to generate the optical potential for the same system. The derived potentials are employed to analyze the elastic scattering differential cross section at energies of 38.3, 41.6 and 82.3 Me V/u. For the imaginary part of the potential we adopt the squared Woods-Saxon form. The obtained results are compared with the corresponding measured data as well as with available results in the literature. The calculated total reaction cross sections are investigated and compared with the optical limit Glauber model description.

关键词： optical model elastic scattering halo nuclei folding model glauber model

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