Saudi Cultural Missions Theses & Dissertations
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Item Restricted أثر أستخدام ذكاء الأعمال في التخطيط الاستراتيجي دراسة تحليلية لاَراء قيادات المؤسسة العامة للتدريب التقني والمهني بمنطقة الجوف(جامعة عجلون الوطنية, 2025) المحزم، احمد; القضاة, نضالالملخص هدفت هذه الدراسة إلى التعرف على أثر استخدام ذكاء الأعمال بأبعاده (تجميع وتحليل البيانات، إدارة البيانات، التحليلات التنبؤية) في دعم التخطيط الاستراتيجي من وجهة نظر القيادات الإدارية في المؤسسة العامة للتدريب التقني والمهني بمنطقة الجوف وعددهم ( 60 ) ، وقد اعتمدت الدراسة على المنهج الوصفي التحليلي،حيث تم استخدام الاستبانة كأداة رئيسية لجمع البيانات، والتي تم توزيعها إلكترونيًا، حيث تم اعتماد أسلوب المسح الشامل، وقد تم تحليل الإجابات من خلال برنامج التحليل الإحصائي SPSS وباستخدام عدة أساليب إحصائية منها تحليل الإنحدار الخطي المتعدد والبسيط، حيث أظهرت نتائج الدراسة أن مستوى تطبيق ذكاء الأعمال داخل المؤسسة جاء بدرجة مرتفعة، حيث حصل بعد "تجميع وتحليل البيانات" على أعلى متوسط حسابي، يليه "إدارة البيانات"، ثم "التحليلات التنبؤية". كما بيّنت النتائج وجود أثر دال إحصائيًا لاستخدام ذكاء الأعمال بأبعاده الثلاثة على التخطيط الإستراتيجي وأبعاده الثلاثة. أوصت الدراسة بضرورة تعزيز استخدام أدوات التحليل التنبئي، وتوفير التدريب الكافي للكوادر، ووضع سياسات موحدة لإدارة البيانات، إضافة إلى دعم ثقافة اتخاذ القرار المبني على البيانات لضمان فعالية التخطيط الاستراتيجي وتحقيق الاستدامة المؤسسية.23 0Item Restricted The Role of the Gulf Cooperation Council in the Promotion and Protection of Human Rights(University of Leeds, 2025) Almanea, Hajer Tawfiq; Walker, Clive; Worrall, JamesAbstract This thesis provides a scholarly analysis of the Gulf Cooperation Council (GCC) and its role in the promotion and protection of human rights, based on documentary analysis and qualitative field interviews. It approaches the GCC’s engagement with human rights from dual perspectives: externally, by examining how human rights policies are shaped within the broader framework of the GCC, and internally, by investigating the GCC’s institutional management of human rights initiatives. To achieve these aims, the study begins by examining the external perspective to understand the origins and rationale of the GCC, evaluating when and why human rights emerged on its agenda. It then assesses the institutional dimensions of the GCC, inter-state dynamics, international pressures, and domestic developments that have influenced state and regional approaches to human rights. With regard to the internal perspective, and by examining the constitutional features and state-centred orientation of the GCC, the study reflects on the organisation’s regional achievements in human rights recognition and promotion, particularly the adoption of the GCC Declaration of Human Rights (GDHR). The study further explores developments within and around the GCC to provide insight into how regional human rights frameworks are constructed. Additionally, it assesses how the GCC’s human rights ambitions are operationalised, particularly through the Human Rights Office (HRO). The thesis offers new insights into institutional and communicative processes within the GCC. While acknowledging the nature of the GCC as a consensus-based organization with a primarily intergovernmental structure, the thesis presents an optimistic perspective on the future of human rights in the region. The GCC’s commitment to human rights, combined with its role in consensus-building and emphasis on state achievements, has the potential to foster competition among states toward improved human rights outcomes and create new ‘openings’ for inclusive and meaningful regional dialogue and action on shared human rights concerns.15 0Item Restricted دور شبكات التواصل الاجتماعي في تحسين الصورة الذهنية للمؤسسة لدى جمهورها الخارجي(جامعة الجزائر 3, 2024) اللحيدان، أمجاد; معطار، بدريةتهدف اﻟﺪراﺳﺔ الى ﺗﺴﻠﻴﻂ اﻟﻀﻮء ﻋﻠﻰ دور ﺷﺒﻜﺎت اﻟﺘﻮاﺻﻞ اﻻﺟﺘﻤﺎﻋﻲ في تحسين اﻟﺼﻮرة اﻟﺬﻫﻨﻴﺔ ﻟﻠﻤﺆﺳﺴﺔ.حيث تنطلقﻣﻦ إﺷﻜﺎﻟﻴﺔ مفادها: ماهو دور شبكات اﻟﺘﻮاﺻﻞ اﻻﺟﺘﻤﺎﻋﻲ في تحسين اﻟﺼﻮرة اﻟﺬﻫﻨﻴﺔ ﻟﻠﻤﺪرﺳﺔ اﻟﺴﻌﻮدﻳﺔ في الجزائر ﻟﺪى جمهورها الخارجي؟ وقد اﻋﺘﻤﺪ اﻟﺒﺎﺣﺜﺎن على المنهج اﻟﻮﺻﻔﻲ اﻟﺘﺤﻠﻴﻠﻲ،وطبقت على عينة من رواد صفحة المدرسة السعودية على الفيسبوك.مستندة الى إطار نظرية اﻻﺳﺘﺨﺪاﻣﺎت واﻻﺷﺒﺎﻋﺎت،تسعى اﻟﺪراﺳﺔ الى: اﻟﻜﺸﻒ ﻋﻦ أنماط وﻋﺎدات اﺳﺘﺨﺪام رواد ﺻﻔﺤﺔ الفيسبوك.ودواﻓﻊ استخدامهم ومعرفة اﻹﺷﺒﺎﻋﺎت المحققة.إضافة الى معرفة سمات اﻟﺼﻮرة اﻟﺬﻫﻨﻴﺔ المتكونة وآراﺋﻬﻢ تجاه المدرسة.6 0Item Restricted Gender Differences in Arterial Stiffness Using Shear Wave Elastography(Imperial College London, 2025) Alneghaimishi, Khalid; Mohammed Farid, AslamBackground: Arterial stiffness is a recognized marker of vascular aging and an early predictor of cardiovascular disease. Previous research suggests that both biological sex and age influence arterial wall properties; however, limited studies have evaluated these differences using advanced ultrasound imaging techniques. Shear wave elastography (SWE) is a novel, non-invasive modality capable of assessing localized arterial stiffness in real time. Aim: This study aimed to investigate sex- and age-related differences in carotid arterial stiffness among healthy individuals using SWE, and to evaluate the reproducibility of the technique through intra- and inter-observer variability analysis. Methods: A total of 30 healthy participants (15 males and 15 females), aged 18–63 years, were recruited. SWE measurements were obtained 10 mm proximal to the carotid bifurcation. Participants were grouped by sex and by age (below and above 40 years). Intra- and inter-observer variability was assessed using Pearson’s correlation coefficient, intraclass correlation coefficient (ICC), Bland Altman plots, and paired t-tests. Results: Males demonstrated higher carotid stiffness values compared to females, and participants over 40 years exhibited greater stiffness than younger individuals. SWE showed excellent intra- and inter observer reproducibility (ICC > 0.95), confirming its reliability in measuring vascular stiffness. Although some differences were not statistically significant, observed trends aligned with previous literature. Conclusion: The study supports the use of SWE as a reliable method for assessing arterial stiffness and highlights the influence of both sex and age on vascular health. These findings emphasize the need for individualized cardiovascular risk assessments and the potential of SWE in preventive vascular screening.15 0Item Restricted أثر الادارة في الاسلام في استراتيجيات ادارة ألاعمال الدولية في شركات التأمين بالمملكة العربية السعودية - الحدود الشمالية(جامعة جرش, 2025) الصقري, عبدالرحمن عويد; فريحات, بهاء الدينأثر الإدارة في الإسلام في استراتيجيات إدارة الأعمال الدولية في شركات التأمين بالمملكة العربية السعودية- منطقة الحدود الشمالية21 0Item Restricted أثر متطلبات تطبيق إدارة المعرفة في بناء المنظمة الذكية (دراسة تطبيقية على تجمع الحدود الشمالية الصحي بالمملكة العربية السعودية)(جامعة جدارا, 2025) العنزي, دسيم; الزعبي, عليأثر متطلبات تطبيق إدارة المعرفة في بناء المنظمة الذكية (دراسة تطبيقية على تجمع الحدود الشمالية الصحي بالمملكة العربية السعودية)9 0Item Restricted أثر ذكاء الأعمال على كفاءة العمليات التشغيلية في مصانع الألبان السعودية(عجلون الوطنية, 2025) المنديل، أحمد; الحياصات، وائلهدفت هذه الدراسة إلى التعرف على أثر ذكاء الأعمالبأبعاده (تجميع وتحليل البيانات، المعالجة الآلية للبيانات، تقييم اداء الاعمال) على كفاءة العمليات التشغيلية بأبعادها (التحسين المستمر، تقليل التكاليف، المحافظة على المخزون) في اربع مصانع الألبان شمال المملكة العربية السعودية، اعتمدت الدراسة على المنهج الوصفي التحليلي لملاءمته لطبيعة المشكلة البحثية، وقد تم توزيع الاستبانات على عينة عشوائية بسيطة من العاملين في إدارات التشغيل والتحليل المؤسسي في تلك المصانع، تمثل مجتمع الدراسة من العاملين في عدد من مصانع الألبان والبالغ عددهم 3850، وتم اختيار عينة مكونة من 386مفردة، حيث تم تحليل البيانات من خلال برنامج SPSS، وبعدة أساليب إحصائية، منها الإنحدار المتعدد والبسيط واختبارات المتوسطات. وتم الاعتماد على الاستبانة كأداةللدراسة وتم التاكد من صدقها وثباتها، حيث توصلت الدراسة إلى عدة نتائج من أبرزها: وجود أثر ذو دلالة إحصائية عند مستوى () لأبعاد ذكاء الأعمال مجتمعة (تجميع وتحليل البيانات، المعالجة الآلية، تقييم الأداء) على أبعاد كفاءة العمليات التشغيلية (التحسين المستمر، تقليل التكاليف، المحافظة على المخزون)، وأوصت الدراسة بضرورة أن تتبنى المؤسسات أنظمة ذكاء أعمال متكاملة، تعتمد على البيانات الواقعية المحدثة وتوفر أدوات تحليل فوري، لتكون مرجعية رئيسية عند اتخاذ القرارات اليومية والاستراتيجية، وتعزيز ثقافة البيانات داخل المؤسسة، بحيث لا تقتصر مسؤولية التحليل على قسم تكنولوجيا المعلومات أو الإدارة العليا، بل تصبح جزءًا من ممارسات جميع الأقسام، خصوصًا الأقسام التشغيلية23 0Item Restricted Characterisation of new-onset chronic musculoskeletal pain in Long COVID(Saudi Digital Library, 2025) Khoja, Omar; Sivan, Manoj; Astill, Sarah; Tan, Ai Lyn; Mulvey, MatthewNew-onset chronic musculoskeletal (MSK) pain is a prevalent and debilitating symptom of Long COVID (LC) that impacts individuals’ quality of life. Understanding this novel pain is crucial for developing appropriate treatment approaches. The main aim of this research was to comprehensively explore the clinical characteristics, underlying pathophysiological mechanisms, and natural progression of new-onset chronic MSK pain in LC. A literature review was conducted to identify existing knowledge and research gaps regarding new-onset chronic MSK pain in LC. This review informed the study’s design, which focused on exploring detailed pain, the characteristics of the new-onset chronic pain, and tracking its progression over time. Cross-sectional data from the baseline timepoint indicated that new-onset chronic MSK pain is often widespread, constant, and associated with general weakness, functional reduction, depression, anxiety, and diminished quality of life, with underlying mechanisms of central sensitisation and pro-inflammatory state. Longitudinal data collected at multiple timepoints tracked the changes and progression of the novel pain syndrome over time, offering insights into its natural history and evolution. The data revealed that pain severity remained stable despite reduced inflammation levels over the study period, which could be attributed to prolonged early-stage inflammation that potentially sensitised the nervous system, leaving a residual effect of central sensitisation. Applying the American College of Rheumatology (ACR) criteria for Fibromyalgia Syndrome (FMS) revealed that 72.2% of assessed participants met the FMS criteria. This finding underscores the overlap between FMS and new-onset chronic MSK pain in LC and supports the hypothesis that FMS may develop as a long-term sequela of a viral infection, Studying MSK pain in LC also offers an opportunity to understand FMS symptoms, highlighting the need for further research into exploring the link between FMS and post-infection sequelae. In summary, this thesis provides new insights into the development of evolution of new-onset chronic MSK pain after COVID-19 infection. The findings will inform clinical practice, advance care and guide future research in this area.7 0Item Restricted Comparison of the mycobiome of the homes and respiratory secretions of patients with chronic pulmonary aspergillosis(Saudi Digital Library, 2025) Alanazi, Ahlam; Richardson, MalcolmIndoor environments, such as homes, contain a variety of microbial communities, with airborne fungi serving as a significant source of indoor micobiome associated with numerous fungal diseases. House dust serves as a valuable matrix for microbial analysis, functioning as a long-term reservoir for airborne fungal spores and representing the microbiological history of patients' homes. Inhalation of mould is linked to respiratory health problems, as the mucus in the respiratory tract creates an environment suitable to fungal growth.Thus, studying the microbial community in household dust is crucial for understanding its impact on human respiratory health. The rapid progress in DNA sequencing technology has intensified research into the relationships between human-associated fungal diversity and that found in house dust within indoor environments. This study aims to compare the diversity of environmental and pathogenic fungi in house dust with environmental and allergenic fungi in sputum samples from patients with chronic pulmonary aspergillosis (CPA). Microbial populations in household dust of individuals with fungal infections were assayed by culture as well as by Next Generation Illumina MiSeq sequencing. The ITS1 and β-tubulin gene regions were targeted to characterise the fungal communities in dust and sputum samples. The sequence data generated via Illumina MiSeq were processed using QIIME v1.8 software which provided useful information about the fungal communities represented in each sample, with statistical tools to evaluate microbial diversity through alpha and beta diversity metrics. NGS microbiome analysis has been successful in identifying unknown or hard to culture fungi in indoor environments, with a particular abundance of xerophilic species detected through ITS and β-tubulin sequencing. Among these, Aspergillus penicillioides and Aspergillus candidus, known to produce allergens, were commonly found and are implicated in the development of allergic diseases.Our findings indicate that fungal diversity in dust samples was significantly higher than in sputum samples, suggesting that sputum acts as a selective environment, potentially excluding fungi that unable to grow at higher moisture and temperature conditions than those typical for household dust. This study contributes to our understanding of how indoor fungal communities intersect with human respiratory health and highlights the selective nature of respiratory environments for fungal survival.18 0Item Restricted Predicting Delayed Flights for International Airports Using Artificial Intelligence Models & Techniques(Saudi Digital Library, 2025) Alsharif, Waleed; MHallah, RymDelayed flights are a pervasive challenge in the aviation industry, significantly impacting operational efficiency, passenger satisfaction, and economic costs. This thesis aims to develop predictive models that demonstrate strong performance and reliability, capable of maintaining high accuracy within the tested dataset and showcasing potential for application in various real-world aviation scenarios. These models leverage advanced artificial intelligence and deep learning techniques to address the complexity of predicting delayed flights. The study evaluates the performance of Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and their hybrid model (LSTM-CNN), which combine temporal and spatial pattern analysis, alongside Large Language Models (LLM, specifically OpenAI's Babbage model), which excel in processing structured and unstructured text data. Additionally, the research introduces a unified machine learning framework utilizing Gradient Boosting Machine (GBM) for regression and Light Gradient Boosting Machine (LGBM) for classification, aimed at estimating both flight delay durations and their underlying causes. The models were tested on high-dimensional datasets from John F. Kennedy International Airport (JFK), and a synthetic dataset from King Abdulaziz International Airport (KAIA). Among the evaluated models, the hybrid LSTM-CNN model demonstrated the best performance, achieving 99.91% prediction accuracy with a prediction time of 2.18 seconds, outperforming the GBM model (98.5% accuracy, 6.75 seconds) and LGBM (99.99% precision, 4.88 seconds). Additionally, GBM achieved a strong correlation score (R² = 0.9086) in predicting delay durations, while LGBM exhibited exceptionally high precision (99.99%) in identifying delay causes. Results indicated that National Aviation System delays (correlation: 0.600), carrier-related delays (0.561), and late aircraft arrivals (0.519) were the most significant contributors, while weather factors played a moderate role. These findings underscore the exceptional accuracy and efficiency of LSTM-CNN, establishing it as the optimal model for predicting delayed flights due to its superior performance and speed. The study highlights the potential for integrating LSTM-CNN into real-time airport management systems, enhancing operational efficiency and decision-making while paving the way for smarter, AI-driven air traffic systems.6 0