Effat University Repository

Effat University Institutional Repository

Welcome to the Effat University Repository, a service of Effat Library and Cultural Museum. This repository provides global and open access to scholarship and research output created by Effat University faculty, graduate and undergraduate students.
While the University Repository is accessible to the public, submission is limited to  Effat University community.
 

If you have any questions, please email us at repository@effatuniversity.edu.sa

Recent Submissions

  • Publication
    Gastronomy Hub: Culinary Arts Center
    (Effat University) Tahlawi, Ghala; Refaat, Ahmed Mohamed; Architecture
  • Publication
    Islamske finansije od lokalnih inicijativa do globalnog tržišnog igrača: mogu li povezati Istok i Zapad
    (IZ BiH, 2024) Smolo, Edib; 0; Finance; Smolo, Edib; NA; 0; No Collaboration; 0
    Islamske finansije su prošle put od lokalnih inicijativa do globalnog tržišnog igrača, sa sve većim prisustvom u zapadnim zemljama. Ovaj rad istražuje historijski razvoj islamskih finansija, njihove različite sektore i njihov potencijal da premoste jaz između Istoka i Zapada. Islamski fondovi, islamsko bankarstvo, sukuk (islamski certifikati ili obveznice) i tekaful (islamsko osiguranje) pokazali su različite rezultate u dinamičnom globalnom finansijskom okruženju. Dok su islamski fondovi zabilježili pad imovine pod upravljanjem zbog viših kamatnih stopa, islamsko bankarstvo je suočeno sa izazovima inflacije i digitalizacije. Sukuki su pokazali otpornost, dok je tekaful zabilježio rast. Malezija se ističe kao lider u islamskim finansijama,zahvaljujući sveobuhvatnom pristupu vlade i regulatornim reformama, dok Ujedinjeno Kraljevstvo (UK) predvodi zapadne zemlje u razvoju islamskih finansija. Ovaj rad također istražuje rastući trend islamskog fintecha i inicijative za širenje islamskih finansija u zemljama kao što su Rusija i Uganda. Zaključak ovog rada je da islamske finansije mogu igrati ključnu ulogu u premošćivanju kulturnih i ekonomskih razlika između Istoka i Zapada, ali uspjeh zavisi od adekvatne edukacije i političke volje. Islamske finansije nisu samo alat za ekonomski rast, već i potencijalni most za međukulturološko, međureligijsko i međucivilizacijsko razumijevanje i saradnju.
  • Publication
    The Impact of Marketing Mix (7Ps) on Customer Satisfaction in the Healthcare Sector: A Study of Demographic and Professional Correlations
    (IGI, 2025) Ghabban, Marwan; 0; PhD in BA; Ghabban, Marwan; NA; 0; No Collaboration; 0
    The service sector plays a crucial role in contributing to a nation’s GDP, with the healthcare sector experiencing rapid economic growth. Customer satisfaction in healthcare centers is essential and expected to remain a priority. To enhance satisfaction, implementing marketing mix strategies across sectors is vital. This study explores the 7Ps’ impact on customer satisfaction, considering gender and age factors. Using quantitative techniques and a questionnaire, correlations between satisfaction and variables like the 7Ps, gender, and age were examined. Significant factors identified include process, promotion, place, product, and people. Logistic regression revealed that people and process significantly influence satisfaction. The study underscores process as the primary factor in marketing strategies, offering a key element to improve service and satisfaction. Future research should expand by segmenting the 7Ps based on gender and age groups. These findings provide valuable insights for tailoring healthcare services to better meet diverse patient needs.
  • Publication
    The Impact of COVID-19 on the Financial Markets, Energy Price and Exchange Rates of GCC Countries
    (EconJournals, 2025-02-25) AlAlami, Ahlam Khalid; Raheem, Mohamed Mahees; Uluyol, Burhan; Hakim, Shabir; 0; Finance; AlAlami, Ahlam Khalid; NA; 1; Department Collaboration; External Collaboration; 0
    No one denies that the COVID-19 health crisis has substantial impact on the financial markets of the globe. It is important to evaluate the performance of financial assets to understand the behaviour of financial markets during such significant event. Therefore, this research investigates the impact of COVID-19 on the GCC stock indices, currency exchange, and oil returns. By application of the event study (constant return Model) and standard Vector Auto-regression models, we examine the index returns of each country, oil price, and currency exchange before and after COVID-19 health crisis. We find that the COVID-19 has a short-term impact on the index returns of Saudi Arabia, and it has a short-term effect on the exchange returns of all GCC counties except Bahrain. However, the COVID-19 has no long-term impact on all selected variables of GCC. This study provides new insight into the financial market during external event which may have a direct or indirect effect on the performance of selected variables of GCC
  • Publication
    A Comparative Analysis of FFT, DCT, and Wavelet-based Image Compression on Kaggle Rose Images
    (Elsevier, 2025) Salem, Nema; Shalabi, Shefaa; Khawfani, Ruba; Salem, Nema; 0; Electrical and Computer Engineering; Salem, Nema; Electronics Lab; 0; Department Collaboration; 2
    This chapter presents a comprehensive comparative analysis of three widely used transformbased image compression techniques: Fast Fourier Transform (FFT), Discrete Cosine Transform (DCT), and Wavelet Transform. The compression transforms are tested under three threshold settings. Utilizing a dataset of 497 JPEG images from Kaggle, we systematically evaluated each method under three distinct threshold settings to examine their performance. The ROSE images dataset was chosen due to its abundant edges and intricate details, effectively distinguishing the differences between compressed images. Setting A employed the highest threshold value, resulting in minimal compression. Setting B had an intermediate threshold value, while Setting C utilized the lowest threshold value, leading to maximum compression. Lower threshold values discard more coefficients, thereby increasing the compression ratio, but potentially affecting image quality. The evaluation metrics used in this study include Mean Squared Error (MSE), Peak signal-to-noise ratio (PSNR), Signal-to-quantization noise ratio (SQNR), Structural Similarity Index (SSIM), Normalized Cross-Correlation (NCC), Compression Ratio (CR), Memory saving (MS), and contrast. The inherent properties of the Wavelet Transform, which efficiently captures both frequency and spatial information, suggest it has a greater potential to excel in balancing compression efficiency and image quality preservation. Both FFT and DCT transforms are anticipated to deliver moderate performance in terms of the performance metrics. They may exhibit more variability and less effectiveness in retaining high-frequency image details. These insights underscore the importance of selecting the appropriate compression technique based on the specific requirements of image quality and storage efficiency, particularly highlighting the advantages of the Wavelet Transform for high-fidelity applications such as medical imaging and archival storage.
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