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The article primarily focuses on the ineffectiveness of recent reforms to women's rights in Saudi Arabia, particularly in relation to the abolition of the male guardianship system. It argues that despite positive attention and perceptions of progress under Crown Prince Mohammed bin Salman al Saud, the reforms have not led to significant improvements in the lived experiences of Saudi women.

Background: Health policy and systems research (HPSR) can strengthen health systems and improve population health outcomes. In the Eastern Mediterranean Region (EMR), there is limited recognition of the importance of HPSR and funding remains the main challenge. This study seeks to: (1) assess the reporting of funding in HPSR papers published between 2010 and 2022 in the EMR, (2) examine the source of funding in the published HPSR papers in the EMR and (3) explore variables influencing funding sources, including any difference in funding sources for coronavirus disease 2019 (COVID-19)-related articles. Methods: We conducted a rapid scoping review of HPSR papers published between 2010 and 2022 (inclusively) in the EMR, addressing the following areas: reporting of funding in HPSR papers, source of funding in the published HPSR papers, authors' affiliations and country of focus. We followed the Joanna Briggs Institute (JBI) guidelines for conducting scoping reviews. We also conducted univariate and bivariate analyses for all variables at 0.05 significance level. Results: Of 10,797 articles screened, 3408 were included (of which 9.3% were COVID-19-related). More than half of the included articles originated from three EMR countries: Iran (n = 1018, 29.9%), the Kingdom of Saudi Arabia (n = 595, 17.5%) and Pakistan (n = 360, 10.6%). Approximately 30% of the included articles did not report any details on study funding. Among articles that reported funding (n = 1346, 39.5%), analysis of funding sources across all country income groups revealed that the most prominent source was national (55.4%), followed by international (41.7%) and lastly regional sources (3%). Among the national funding sources, universities accounted for 76.8%, while governments accounted for 14.9%. Further analysis of funding sources by country income group showed that, in low-income and lower-middle-income countries, all or the majority of funding came from international sources, while in high-income and upper-middle-income countries, national funding sources, mainly universities, were the primary sources of funding. The majority of funded articles' first authors were affiliated with academia/university, while a minority were affiliated with government, healthcare organizations or intergovernmental organizations. We identified the following characteristics to be significantly associated with the funding source: country income level, the focus of HPSR articles (within the EMR only, or extending beyond the EMR as part of international research consortia), and the first author's affiliation. Similar funding patterns were observed for COVID-19-related HPSR articles, with national funding sources (78.95%), mainly universities, comprising the main source of funding. In contrast, international funding sources decreased to 15.8%. Conclusion: This is the first study to address the reporting of funding and funding sources in published HPSR articles in the EMR. Approximately 30% of HPSR articles did not report on the funding source. Study findings revealed heavy reliance on universities and international funding sources with minimal role of national governments and regional entities in funding HPSR articles in the EMR. We provide implications for policy and practice to enhance the profile of HPSR in the region. [ABSTRACT FROM AUTHOR]

Patient‐reported outcomes (PROs) are closely related to the delivery of high‐quality care and services. Patient‐reported outcome measures (PROMs) are the tools used to measure the PROs. Despite the challenges and barriers associated with using PROs and PROMs, measuring PROs is valuable for a patient's health status and advancing evidence‐based medicine. Real‐world implementation of PROMs may especially open possibilities for healthcare systems under reform, such as Saudi Arabia. This paper highlights the concepts of PROs and PROMs. Moreover, it distinguishes between PROs and other concepts such as patient experience, quality of life, and patient satisfaction. It also explores the available literature in Saudi Arabia and the world regarding PROs and their role in improving healthcare systems. Last, this paper advocates for utilizing the national and comprehensive tools of PROMS in different levels and disciplines. Key points: Patient‐reported outcomes provide an opportunity to engage patients in their care, enhance shared decision making, and improve care effectively and safely.Integrating patient‐reported outcome measures (PROMs) in patient care has been associated with improving patient safety and patient experience and helping achieve more patient‐centered care.Related literature demonstrated some limitations that might hinder the effective implementation of PROMs, related to the integrity of data and lack of methodological standardization of PROMs data.Patient‐reported outcomes are poorly addressed within the Saudi literature, and the utilization of PROs is also underdeveloped and needs further consideration.There is an excellent opportunity for researching and implementing PROMs in the healthcare setting in Saudi Arabia, which is currently undergoing a major transformation. [ABSTRACT FROM AUTHOR]

Recent statistics indicate that as of 2023, the global renewable energy capacity has reached new heights, with Saudi Arabia significantly contributing to this growth through its strategic initiatives. The kingdom is particularly focusing on harnessing solar power, given its abundant sunlight, and is also exploring wind energy, leveraging its vast desert landscapes. These efforts are part of Saudi Arabia's broader strategy to become a global leader in renewable energy. This paper provides a detailed exploration of Saudi Arabia's ambitious journey from a fossil-fuel-dominated energy sector to a more sustainable, renewable-energy-driven future. Anchored in the broader context of global energy trends, the study emphasizes the critical shift toward renewable resources, with a particular focus on Saudi Arabia's unique position in this global movement. Key to this transition is Saudi Arabia's Vision 2030, a strategic framework that guides the country's renewable energy policies and initiatives. A comprehensive review of these policies, including other governmental and international collaborations that support renewable energy development, is offered. The current state of renewable energy in Saudi Arabia is assessed, including an overview of existing projects and production statistics. The paper also explores emerging technologies such as energy storage systems and smart grid solutions, emphasizing their role in Saudi Arabia's energy transition. An impact assessment is conducted to understand the environmental, economic, and social effects of this energy shift. The paper also includes a comparative analysis of other countries' renewable energy transitions, extracting lessons and best practices applicable to the Saudi context. Strategic recommendations and reflections on Saudi Arabia's future role in the global energy landscape are provided for stakeholders in energy policy, environmental planning, and sustainable development. [ABSTRACT FROM AUTHOR]

Sign language is an essential means of communication for individuals with hearing disabilities. However, there is a significant shortage of sign language interpreters in some languages, especially in Saudi Arabia. This shortage results in a large proportion of the hearing-impaired population being deprived of services, especially in public places. This paper aims to address this gap in accessibility by leveraging technology to develop systems capable of recognizing Arabic Sign Language (ArSL) using deep learning techniques. In this paper, we propose a hybrid model to capture the spatio-temporal aspects of sign language (i.e., letters and words). The hybrid model consists of a Convolutional Neural Network (CNN) classifier to extract spatial features from sign language data and a Long Short-Term Memory (LSTM) classifier to extract spatial and temporal characteristics to handle sequential data (i.e., hand movements). To demonstrate the feasibility of our proposed hybrid model, we created a dataset of 20 different words, resulting in 4000 images for ArSL: 10 static gesture words and 500 videos for 10 dynamic gesture words. Our proposed hybrid model demonstrates promising performance, with the CNN and LSTM classifiers achieving accuracy rates of 94.40% and 82.70%, respectively. These results indicate that our approach can significantly enhance communication accessibility for the hearing-impaired community in Saudi Arabia. Thus, this paper represents a major step toward promoting inclusivity and improving the quality of life for the hearing impaired. [ABSTRACT FROM AUTHOR]

Objectives: To map the current evidence about the health concerns and the potential solutions related to the Islamic pilgrimage to Mecca. Design: A scoping review was applied. Papers published in English between 2012 and 2023 were included but non‐human research and sources without any related data were excluded. Data charting and extraction were used to map the current evidence. Results: The total of 36 papers were included with the total number of pilgrims of 17,075,887. The majority of studies were published in the Asia Pacific region (36.11%) as original articles (88.89%). The health concerns were grouped into five main aspects. There were 7603 deaths recorded or about 44 incidences of deaths per 100,000 pilgrims during the pilgrimage. There were recorded 11,018; 6178; 3393; and 17,810 cases for communicable diseases; non‐communicable diseases; injuries and trauma; and health services (i.e., cardiac catheterization) and vaccination, respectively. Conclusion: Relating to the five health concerns, this study identified the top seven issues in each category (i.e., hypertension, influenza vaccination), except for the death record. Moreover, there were three solutions (for general health, non‐ and communicable‐diseases) presented. Stakeholders could use this evidence to improve healthcare quality particularly related to the annual Islamic pilgrimage to Mecca. [ABSTRACT FROM AUTHOR]

Scientometric studies play a crucial role in quantitatively assessing the impact and quantity of scholarly articles, providing a basis for policy-making and informed decision-making processes. Given the ongoing transformation within the Saudi scientific community across various domains, it is essential to establish a baseline for high-quality endodontic research. A comprehensive search in the PubMed database, using the keywords ["Saudi" OR "Saudi Arabia"] within the time frame of 2014 to 2021. The screening process involved evaluating the title and abstract of each article, with only those classified as endodontic articles included for analysis in this study. The analysis included factors such as the type of paper, the authors, the citations, and the year of publication. Featuring one or more authors affiliated with a Saudi dental institution, 70 papers were specifically categorized as endodontic papers. The most prevalent type of paper was case reports, accounting for 27 articles (28%), followed by literature reviews with 13 articles (18%). The number of authors ranged from one to ten, with a general trend of increasing publication rates over the years. In terms of citations, only four papers received more than 20 citations, while the majority of papers garnered between one and ten citations. Most articles in the field of endodontics exhibited low-level evidence. Therefore, it is recommended that the quality of research output and evidence be enhanced. [ABSTRACT FROM AUTHOR]

In the Kingdom of Saudi Arabia (KSA), qualitative research methods are infrequently employed, as researchers in the region are more accustomed to quantitative approaches, with a certain hesitancy to embrace qualitative methodology. This research endeavor focuses on exploring the impediments faced by individuals engaged in qualitative research within the Saudi context. To do so, I conducted semi-structured interviews with eight doctoral students and employed a qualitative case study design for this paper. Utilizing the MAXQDA software, I also applied thematic analysis to the data gathered from the interviews. The primary findings highlight three significant themes: (a) challenges related to organizational aspects, (b) difficulties stemming from social and cultural factors, and (c) obstacles specific to qualitative research practices. This paper, unique in its contribution to the region, addresses a wide range of issues faced by qualitative researchers to support and enhance their research endeavors. While this study holds relevance for researchers, its significance extends notably to policymakers, academics, and higher education institutions in the KSA. [ABSTRACT FROM AUTHOR]

The paper examines the global scientific literature on Molecular Docking (MD). MDis a keyapproachusedinbioinformatics to identify and developnovel compounds towards drug discovery. This study uses the bibliometric method to analyze scientific data covered in the Scopus database from 2013 to 2022 using MS Excel, R Studio, andVOS Viewer software. A total of 12173 documents on Molecular Docking were retrieved and considered for the study. The paper provides an in-depth evaluation of the research output of MD. The research found that MuthuS.was a most prolific author in MD scientific research, with 98 publications that received 1481 global citations. The most productivecountries in this field areIndia (4020 publications), followedbyChina (2675 publications), Saudi Arabia (1362 publications) and Egypt (1071 publications). The hot keywords in MD research are molecular modelling, molecular docking simulation, unclassified drug and controlled study, but Molecular Docking is the burning author keyword. The finding also shows that the publications are increasing consistently from 2013 onwards. Most articles have been published in the 'Journal of Molecular Structure'. As it is an emerging and a trending topic, it has scope for further studies. This study will benefit future researchers and practitioners worldwide in understanding the research pattern on MD and identifying the other key areas related to the topic. [ABSTRACT FROM AUTHOR]

The aim of this research paper is to engage with the ongoing scientific discourse surrounding the impact of electronic human resources management (EHRM) technology on organizational sustainability, performance, and innovation within the context of the dynamic Saudi Arabian hospitality industry. Drawing upon a quantitative research methodology, this study seeks to unveil the intricate relationship between the latent variable (e-HRM) and the dependent variables, namely, organizational innovation, organizational performance, and organizational sustainability. The systematic organization of literary sources and research approaches underpins the comprehensive nature of this study, which holds particular relevance against the backdrop of Saudi Arabia's ambitious Vision 2030 development plan. The plan envisions diversifying the economy, reducing dependence on oil, and fostering sustainable growth -- objectives that resonate strongly with the challenges and opportunities within the hospitality sector. The paper progresses logically, employing robust statistical software such as SPSS version 25 and SmartPLS 3.3.5 to rigorously evaluate and test the measuring and structural models. This meticulous approach includes hypothesis testing to assess indicators' reliability, convergent validity, and discriminant validity. The study meticulously examines a sample of 438 employees within the Saudi hospitality industry. Methodological tools, including detection analyses and correlation analysis, are deployed to ensure the integrity and accuracy of the data. The Saudi hospitality industry is strategically selected for its pivotal role in job creation, economic prosperity, and overall image projection. Empirical analysis forms the crux of this paper, revealing compelling results that underscore the positive and significant influence of e-HRM technologies on organizational innovation, organizational performance, and organizational sustainability. The model's robust fit, as evidenced by the SRMR value of 0.074 and the NFI score of 0.911, accentuates the reliability and validity of the research. Furthermore, the paper employs the blindfolding technique to assess the model's predictive validity, revealing effect sizes of 0.223, 0.109, and 0.439 for organizational innovation, organizational performance, and organizational sustainability, respectively. This research not only empirically confirms but also theoretically substantiates the pivotal role of e-HRM technologies in shaping organizational outcomes. By delving into the mediating relationship between organizational performance and organizational innovation, this study contributes significantly to understanding how e-HRM technologies can be a catalyst for organizational sustainability in the unique context of the Saudi hospitality industry. Beyond the academic realm, the findings provide actionable insights for policymakers, industry professionals, and stakeholders, aligning with the overarching goals of Saudi Vision 2030 to foster sustainable growth and development. [ABSTRACT FROM AUTHOR]

This paper summarizes the arguments and counterarguments within the scientific discussion on the issue of electronic advertising in Saudi Arabia. The main purpose of this research is to explore the impact of internet advertising on companies' visits to stores through an exploratory study. The systematization of literary sources and approaches for solving electronic advertising problems indicates that new mediating and moderating variables could have an impact on the relation between Internet advertising and visits to stores. In this research, the disposition to visit the point of sale is assimilated as a mediating construct rather than an implication with the product as a moderating variable. The relevance of this scientific problem decision is that this investigation of the consequences of electronic advertising for offline customer comportment in Saudi Arabia is unprecedented research that seeks to address this interesting question. The investigation of the role of online advertising and the impact of mediating and moderating variables on the visit to the store in the paper was carried out in the following logical sequence: the data were collected via an electronic survey. Of the 500 randomly selected Internet users in Saudi Arabia, only 350 responses were valid. This research used a structural equation model and multigroup analysis to examine the direct and indirect influences of variables. This paper presents the results of an empirical analysis that revealed a positive relation between internet advertising and visits to points of sale. The disposition to visit the point of sale mediates the relationship between Internet advertising and concrete visits to the store. The effect of the product moderates the effect of internet advertising on the disposition to visit the point of sale in Saudi Arabia. The research empirically confirms and theoretically proves that Saudi shoppers fine online advertising to be attractive when this advertising must have some actions and concepts flash. Therefore, Saudi directors should follow this form and use an effective mixture of content and animation. The e-shoppers who are involved are persons who have little engagement; for this reason, they are simply concerned about the tools of the publicity communication. [ABSTRACT FROM AUTHOR]

This paper questions the apparent hostility between Iran and Saudi Arabia and highlights its discursive construction. It explores the centrality of 'Muslimness' in both countries' discourses and how it both shapes and is shaped by their opposition. At the same time, it seeks to uncover how these discourses construct a specific regional and 'Muslim' dynamic. To do so, the paper draws on theories from both security and nationalism studies. The application of the theoretical framework was carried out over the 2010-2020 period through a discourse analysis of both primary and secondary sources. It is highlighted that Saudi Arabia resorts to a sectarian perspective, merging the 'Muslim' category with a 'Sunni' one, while Iran eludes the sectarian dimension and centers on the struggle against oppression and 'arrogant powers.' The paper concludes that, in the struggle over the definition of 'Muslimness,' both parties invest this label with different, but not opposing, attributes. While Saudi speeches express a closed and exclusive 'identity' defined by their understanding of religion and in direct opposition to Shias, Iranian speeches express an inclusive 'identity' based on 'Muslimness,' which is largely defined by the struggle against oppression. [ABSTRACT FROM AUTHOR]

Hybrid renewable energy systems (HRES) are gaining high interest in supplying electric energy for remote communities. Energy storage systems (ESS) are utilized by green autonomous HRESs to accommodate the variability of renewable resources such as wind and solar energy systems. The lack of any traditional energy source is adding a great reliability challenge which should be compensated using expensive ESS. This challenge can be avoided by using a pumped hydro energy storage system (PHES) in harmony with batteries. The PHES is an excellent option to be used in NEOM city due to the perfect topographical characteristic of this site. The minimum cost of energy and the highest reliability is used as an objective for sizing the proposed entire green HRES. Using smart grid principles (SGP) and demand‐side management (DSM) in the design and operation stages will minimize system size and cost, which can result in a significant reduction in consumer bills. As a result, this paper introduces an innovative DSM based on a dynamic tariff. The suggested DSM technique was developed utilizing a unique fuzzy logic that takes into account the present and day‐ahead ESS situations to intelligently determine the ideal tariff for the lowest cost and maximum reliability of the HRES. This paper introduces a modified grey wolf optimization (MGWO) technique to shorten convergence time while preserving the best accuracy. The suggested MGWO is assessed against 10 swarm optimization techniques. The payback period of the project is 7 years. The findings acquired from this unique program demonstrated its superiority, with conversion times reduced by 22% to 80% when compared to previous optimization procedures. Furthermore, as compared to the flat rate pricing tariff, the usage of the dynamic tariff lowered the LCOE by 53%. [ABSTRACT FROM AUTHOR]

Background: With the rise in medical errors, establishing a strong safety culture and an effective incident reporting system is crucial. As part of the Saudi National Health Transformation Vision of 2030, multiple projects have been initiated to periodically assess healthcare quality measures and ensure a commitment to continuous improvement. Among these is the Hospital Survey on Patient Safety Culture National Project (HSPSC), conducted regularly by the Saudi Patient Safety Center (SPSC). However, comprehensive tools for assessing reporting culture are lacking. Addressing this gap can enhance reporting, efficiency, and health safety. Objective: This paper aims to investigate the reporting practices among healthcare professionals (HCPs) in Saudi Arabian hospitals and examine the relationship between reporting culture domains and other variables such as hospital bed capabilities and HCPs' work positions. Methods: The study focuses on measuring the reporting culture-related items measures and employs secondary data analysis using information from the Hospital Survey on Patient Safety Culture conducted by the Saudi Center for Patient Safety in 2022, encompassing hospitals throughout Saudi Arabia. Data incorporated seven items in total: four items related to the Response to Error Domain, two related to the Reporting Patient Safety Events Domain, and one associated with the number of events reported in the past 12 months. Results: The sample for the analyzed data included 145,657 HCPs from 392 hospitals. The results showed that the average positive response rates for reporting culture-related items were between 50% and 70%. In addition, the research indicated that favorable response rates were relatively higher among managerial and quality/patient safety/risk management staff. In contrast, almost half had not reported any events in the preceding year, and a quarter reported only 1 or 2 events. Pearson correlation analysis demonstrates a strong negative correlation between bed capacity and reporting safety events, response to error, and number of events reported (r = -0.935, -0.920, and − 0.911, respectively; p < 0.05), while a strong positive correlation is observed between reporting safety events and response to error (r = 0.980; p < 0.01). Conclusions: Almost 75% of the HCPs reported fewer safety events over the last 12 months, indicating an unexpectedly minimal recorded occurrence variance ranging from 0 to 2 incidents. [ABSTRACT FROM AUTHOR]

This research paper presents a comprehensive study on the implementation of photovoltaic (PV) energy systems at Al-Abrar Mosque in Saudi Arabia. The primary objective was to explore optimal regional solar power strategies. By synergistically integrating technical evaluations of the PV system with economic analyses, including the payback period and levelized cost of energy (LCOE), alongside an investigation of net metering and net billing scenarios, we delineated a pathway toward achieving net zero billing for the mosque's energy requirements. This study examined two scenarios: Scenario I involved net metering, while Scenario II explored net billing. Our theoretical and simulation results, derived from detailed analyses conducted using PVsyst software, unequivocally demonstrated the superiority of net metering for this specific application. With net metering, the mosque's energy needs can be efficiently met using minimal infrastructure—comprising only 34 photovoltaic modules and a single inverter. In contrast, net billing requires significantly higher resource demands, underscoring the economic and spatial advantages of net metering. Additionally, the payback period for Scenario I is 7.9 years, while for Scenario II, it extends to 87 years. Through rigorous simulations, this study reaffirmed the practicality and feasibility of the net metering approach within the context of Saudi Arabia. Furthermore, our research provides actionable insights for implementing sustainable solutions at specific sites, such as the Al-Abrar Mosque, and contributes to advancing renewable energy knowledge in the region. [ABSTRACT FROM AUTHOR]

Deaf and hard-of-hearing people mainly communicate using sign language, which is a set of signs made using hand gestures combined with facial expressions to make meaningful and complete sentences. The problem that faces deaf and hard-of-hearing people is the lack of automatic tools that translate sign languages into written or spoken text, which has led to a communication gap between them and their communities. Most state-of-the-art vision-based sign language recognition approaches focus on translating non-Arabic sign languages, with few targeting the Arabic Sign Language (ArSL) and even fewer targeting the Saudi Sign Language (SSL). This paper proposes a mobile application that helps deaf and hard-of-hearing people in Saudi Arabia to communicate efficiently with their communities. The prototype is an Android-based mobile application that applies deep learning techniques to translate isolated SSL to text and audio and includes unique features that are not available in other related applications targeting ArSL. The proposed approach, when evaluated on a comprehensive dataset, has demonstrated its effectiveness by outperforming several state-of-the-art approaches and producing results that are comparable to these approaches. Moreover, testing the prototype on several deaf and hard-of-hearing users, in addition to hearing users, proved its usefulness. In the future, we aim to improve the accuracy of the model and enrich the application with more features. [ABSTRACT FROM AUTHOR]

Several research papers have attempted to describe the dynamics of COVID-19 based on systems of differential equations. These systems have taken into account quarantined or isolated cases, vaccinations, control measures, and demographic parameters, presenting propositions regarding theoretical results that often investigate the asymptotic behavior of the system. In this paper, we discuss issues that concern the theoretical results proposed in the paper "An Extended SEIR Model with Vaccination for Forecasting the COVID-19 Pandemic in Saudi Arabia Using an Ensemble Kalman Filter". We propose detailed explanations regarding the resolution of these issues. Additionally, this paper focuses on extending the local stability analysis of the disease-free equilibrium, as presented in the aforementioned paper, while emphasizing the derivation of theorems that validate the global stability of both epidemic equilibria. Emphasis is placed on the basic reproduction number R 0 , which determines the asymptotic behavior of the system. This index represents the expected number of secondary infections that are generated from an already infected case in a population where almost all individuals are susceptible. The derived propositions can inform health authorities about the long-term behavior of the phenomenon, potentially leading to more precise and efficient public measures. Finally, it is worth noting that the examined paper still presents an interesting epidemiological scheme, and the utilization of the Kalman filtering approach remains one of the state-of-the-art methods for modeling epidemic phenomena. [ABSTRACT FROM AUTHOR]

Utilizing renewable energy (RE) sources can provide a realistic answer to the problem of many nations' energy needs. This paper reviews the current status of using RE to produce electricity in the Kingdom of Saudi Arabia (KSA). The primary aim of the review is to identify and analyze the solar- and wind-energy utilization, problems, and future trends in KSA while taking into account all relevant aspects, associated development hurdles, and suggested solutions. All involved parties will receive useful results and conclusions from a thorough examination and analysis of the pertinent literature that can assist them in understanding the potential of solar and wind energy, considering all the linked issues. [ABSTRACT FROM AUTHOR]

Introduction: D-dimer is a marker of coagulation and fibrinolysis widely used in clinical practice for assessing thrombotic activity. While it is commonly ordered in the Emergency Department (ED) for suspected venous thromboembolism (VTE), elevated D-dimer levels can occur due to various other disorders. The aim of this study was to find out the causes of elevated D-dimer in patients presenting to a large ED in Saudi Arabia and evaluate the accuracy of D-dimer in diagnosing these conditions. Methods: Data was collected from an electronic hospital information system of patients who visited the ED from January 2016 to December 2022. Demographic information, comorbidities, D-dimer levels, and diagnoses were analyzed. Statistical analysis was performed using the SPSS software. The different diagnoses associated with D-dimer levels were analyzed by plotting the median D-dimer levels for each diagnosis category and their interquartile ranges (IQR). The receiver operating characteristic (ROC) curves were calculated and their area under the curve (AUC) values were demonstrated. The optimal cut-off points for specific diseases were determined based on the ROC analysis, along with their corresponding sensitivities and specificities. Results: A total of 19,258 patients with D-dimer results were included in the study. The mean age of the participants was 50 years with a standard deviation of ± 18. Of the patients, 66% were female and 21.2% were aged 65 or above. Additionally, 21% had diabetes mellitus, 20.4% were hypertensive, and 15.1% had been diagnosed with dyslipidemia. The median D-dimer levels varied across different diagnoses, with the highest level observed in aortic aneurysm 5.46 g/L. Pulmonary embolism (PE) and deep vein thrombosis (DVT) were found in 729 patients (3.8%) of our study population and their median D-dimer levels 3.07 g/L (IQR: 1.35–7.05 g/L) and 3.36 g/L (IQR: 1.06–8.38 g/L) respectively. On the other hand, 1767 patients (9.2%) were diagnosed with respiratory infections and 936 patients (4.9%) were diagnosed with shortness of breath (not specified) with median D-dimer levels of 0.76 g/L (IQR: 0.40–1.47 g/L) and 0.51 g/L (IQR: 0.29–1.06 g/L), respectively. D-dimer levels showed superior or excellent discrimination for PE (AUC = 0.844), leukemia (AUC = 0.848), and aortic aneurysm (AUC = 0.963). DVT and aortic dissection demonstrated acceptable discrimination, with AUC values of 0.795 and 0.737, respectively. D-dimer levels in respiratory infections and shortness of breath (not specified) exhibited poor to discriminatory performance. Conclusion: This is the first paper to identify multiple causes of elevated D-dimer levels in Saudi Arabia population within the ED and it clearly highlights their accurate and diagnostic values. These findings draw attention to the importance of considering the specific clinical context and utilizing additional diagnostic tools when evaluating patients with elevated D-dimer levels. [ABSTRACT FROM AUTHOR]

One of the predominant health issues affecting Saudi Arabia and leading to many complications is Type 2 diabetes (T2D). Early detection and significant preventative measures lead to curbing and controlling the health issue. There are fewer datasets in the literature for the detection of T2D in the Saudi population. Past studies using Saudi data have favoured machine learning algorithms to classify T2D. Although the application of this data in machine learning is evident, no studies exist in the literature that compare this data, especially those related to deep learning algorithms. This study's objective is to use specific Saudi data to develop multiple deep learning models that could be used to detect T2D. The research uses a Deep Neural Network (DNN), an Autoencoder (AE), and a Convolutional Neural Network (CNN) to create predictive models and compare their performance with a traditional machine learning classifier used on the same dataset that outperformed other machine learning algorithms such as a Decision Forest (DF). Various metrics were used to evaluate the effectiveness of the models, such as accuracy, precision, recall, F1 score and area under the ROC curve (AUC) where the ROC acts as a receiver operating characteristic curve. There are two cases in this paper: (i) uses all features of the dataset and (ii) uses six of the ten features, such as DF. In case (i), the results were shown that AE outperformed other models with the highest accuracy for imbalanced and balanced data 81.12% and 79.16%, respectively. The results for case (ii) showed that AE scored the highest 81.01% accuracy with imbalanced data compared to DF and DF achieved the highest accuracy of 82.1% with balanced data. As a result, both cases explored in this study revealed that AE has a constant superior performance if imbalanced data is used. In contrast, DF demonstrated the highest accuracy when a balanced dataset was used with a feature set reduction. They help to identify the undiagnosed T2D, and they are essential for professionals in Saudi Arabia in the health sector to promote health connections, identify risks and contain or improve their diabetes management. [ABSTRACT FROM AUTHOR]

Businesses use data to enhance operational performance, creating demand for professionally trained data/business analytics graduates. Universities offer a variety of academic programs in response to the increasing labor market demands. Yet, research on how well educational offerings adapt to market demand is scant. This paper aims to evaluate how well university curricula match Saudi Arabia's marketplace needs. A content analysis was conducted to compare universities' analytics programs with a sample of internet job postings over a 12-month period. The results were evaluated quantitatively to assess the alignment between academia and industry. This information is of value to industry, universities, and learners. [ABSTRACT FROM AUTHOR]

Since the discovery and the development of many technological instruments such as modern communication and communication technologies, digital media has served widely from the technology, and thus intersected quasi all life's domains, by providing news, information, and also discussions of quasi all subjects. In social sciences, for example, a major part of digital media sites discusses the well-being of both individuals, and societies, especially with the presence of many challenging phenomena like pandemics, wars, and financial crises. A major concern for QoL index for example resides in whether it is a uniform stable index or on the contrary a non-uniform index depending strongly and point-wisely on the time scale. This motivates the consideration of a non-uniform QoL index based on non-uniform wavelets to take into account the influence of many factors issued from political, social, environmental, economic effects according to the time scale. The model developed is tested on Saudi Arabia QoL index case. Recall that the Kingdom of Saudi Arabia has fixed many aims in its 2030-vision plan including the quality of life as a major goal. For example, the KSA worldwide NEOM project necessitates surely a supportive environment to be realized. The second purpose of our paper is also to study the impact of digital media such as social one on the QoL. Therefore, the data collected is basically issued from a set of conversations on social media platforms. To obtain a suitable time series, we developed a backward-forward non-uniform wavelet forecasting model to extend the data sample suitably. The whole time series is by the next applied for the QoL index dynamics and interpretations. The findings showed that effectively, the QoL index is never a stable single index on the whole year, but on the contrary, the dependence on the time scale is non-uniform. Moreover, to interpret suitably and for a correct policy, the non-uniform behavior should be considered adequately. [ABSTRACT FROM AUTHOR]

Flight delays are a major concern for both travelers and airlines, with significant financial and reputational consequences. Accurately predicting flight delays is crucial for enhancing customer satisfaction and airline revenues. In this paper, we leverage the power of artificial intelligence and machine learning techniques to build a framework for accurately predicting flight delays. To achieve this, we collected flight information from September 2017 to April 2023, along with weather data, and performed extensive feature engineering to extract informative features to train our model. We conduct a comparative analysis of various popular machine learning architectures with distinctive characteristics, aiming to determine their efficacy in achieving optimal accuracy on our newly proposed dataset. Based on our evaluation of various architectures, our findings demonstrate that CatBoost outperformed the others by achieving the highest test accuracy and the lowest error rate in the challenging use case of Saudi Arabia. Moreover, to simulate real-world scenarios, our framework evaluates the best-performing model that has been selected for deployment in a web application, which provides users with the ability to accurately forecast flight delays and offers a user-friendly dashboard with valuable insights and analysis capabilities. [ABSTRACT FROM AUTHOR]

Background: Oral potentially malignant disorders (OPMDs) are a group of chronic oral mucosal diseases associated with an increased risk of malignant transformation. Multiple studies have investigated the prevalence of these conditions in multiple regions; however, there are limited data about the prevalence of OPMDs in the Kingdom of Saudi Arabia (KSA). This paper aims to review the prevalence of OPMDs in the KSA, to ensure better understanding of the population risk and propose a more standardised approach to the diagnosis and management of this group across the KSA. In addition, this review will discuss the prevalence of oral cancer in the KSA, considering independent risk factors for oral cancer development. Methods: Electronic databases including PubMed, Medline, Medscape, ScienceDirect, StatPearls, BMC Oral Health and the Cochrane Library were searched with the keywords "Oral Potentially Malignant Disorders"; "Saudi Arabia"; and "Oral Cancer". Identified articles were reviewed independently by 2 reviewers against defined inclusion and exclusion criteria. Results: 16 studies were included in this review. The prevalence of OPMDs in KSA varies significantly depending on age, gender, social habits, background disease and dental status. Conclusions: This review highlights the need for up-to-date data on the prevalence, distribution, and characteristics of OPMDs in KSA. The diverse prevalence rates and distinct characteristics of various OPMDs emphasise the necessity for targeted preventive measures. As the data on OPMDs in KSA remains limited, future research efforts should prioritise the establishment of comprehensive epidemiological studies to inform effective public health interventions in this region. [ABSTRACT FROM AUTHOR]

Technical debt (TD) poses a significant risk in the software industry, representing the compromises made during software development that result in long-term consequences. To facilitate the management of TD, it is important to explore the causes of TD and the effects of the presence of TD on software projects. While the concept of TD has been investigated in several countries, no study has explored TD in the context of Saudi Arabia. In this paper, we aim to investigate the familiarity of the TD concept within the Saudi software practitioners and identifying the common causes and effects of TD in the Saudi software industry. We replicated a global survey called InsighTD, using the same survey instrument and the analysis procedure but collecting the data from software practitioners in Saudi Arabia. A total of 48 Saudi software practitioners completed the survey. The study findings indicate that the TD concept is not well recognized among the Saudi software practitioners (50% of the survey respondents have never heard of it before). Additionally, we identify the common causes and effects of TD from the perspective of Saudi software practitioners. The top causes of TD were tight-release deadlines, work pressure, lack of experience, and inappropriate project planning. On the other hand, the top effects of TD were increased maintenance effort/cost, low software quality, and delayed delivery of new versions. In conclusion, our findings support previous research regarding the most common TD causes and effects. In addition, they highlight some important factors in the Saudi software industry. [ABSTRACT FROM AUTHOR]

Corporate social responsibility (CSR) has gained a great deal of interest in recent years due to the need for information that can help many stakeholders (e.g., governments, investors, professional organizations, researchers, etc.) understand companies' contributions to the environment and society. CSR disclosure (CSRD) is now the key source of such information when analyzing, for example, an institution's future performance. In the current body of CSRD literature, the majority of quantitative CSRD studies have relied on traditional statistical approaches for the correlation analysis of CSRD influencing factors. In this paper, we intend to quantitatively analyze firms' characteristics related to CSRD in Saudi Arabia, understand CSRD and its influencing factors, and predict CSRD patterns. This study lays the groundwork to help companies make informed decisions. It also helps many other stakeholders better understand CSRD's impacts. To achieve this, we propose a deep learning framework based on long short-term memory (LSTM) for identifying and predicting CSRD patterns. Moreover, a correlation-based technique is also used to visualize the relationships between variables and identify the significant features. The dataset used in this study was collected from annual reports, CSR reports, and firms' websites between 2015 and 2018. It contains a variety of variables to explain the CSR behaviour of 117 companies. The proposed framework is evaluated with several approaches, including logistic regression (LR), K-nearest neighbours (KNN), support vector machines (SVM), random forests (RF), and decision trees (DT). Compared to other machine learning models, experiment results show that LSTM achieved acceptable results with the highest accuracy of 88 % . [ABSTRACT FROM AUTHOR]

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for coronavirus disease-19 (COVID-19). This virus has caused a global pandemic, marked by several mutations leading to multiple waves of infection. This paper proposes a comprehensive and integrative mathematical approach to the third wave of COVID-19 (Omicron) in the Kingdom of Saudi Arabia (KSA) for the period between 16 December 2022 and 8 February 2023. It may help to implement a better response in the next waves. For this purpose, in this article, we generate a new mathematical transmission model for coronavirus, particularly during the third wave in the KSA caused by the Omicron variant, factoring in the impact of vaccination. We developed this model using a fractal-fractional derivative approach. It categorizes the total population into six segments: susceptible, vaccinated, exposed, asymptomatic infected, symptomatic infected, and recovered individuals. The conventional least-squares method is used for estimating the model parameters. The Perov fixed point theorem is utilized to demonstrate the solution's uniqueness and existence. Moreover, we investigate the Ulam–Hyers stability of this fractal–fractional model. Our numerical approach involves a two-step Newton polynomial approximation. We present simulation results that vary according to the fractional orders (γ) and fractal dimensions (θ), providing detailed analysis and discussion. Our graphical analysis shows that the fractal-fractional derivative model offers more biologically realistic results than traditional integer-order and other fractional models. [ABSTRACT FROM AUTHOR]

Background: Chiari malformation type III (CM III), a rare hindbrain anomaly, often presents with various concurrent anomalies. This paper reports a unique case of CM III associated with Klippel-Feil syndrome (KFS), a condition previously unreported in Saudi Arabia and documented in only one other case globally in Turkey. This study aims to share insights into the unusual association between CM III and KFS, considering their close embryological development and involvement in the craniocervical junction. Methodology: The study presents a case of a 2.5-year-old female diagnosed with CM III and KFS. Diagnostic tools such as ultrasound, CT scans, MRI, and physical examinations were used to confirm the patient's condition. Surgical interventions, including decompression and encephalocele repair, were performed. Results: Successful surgical interventions, including encephalocele repair and duraplasty, were carried out. Follow-up visits indicated a stable condition, marked improvement in lower limb strength, and the patient's ability to walk with assistance. CT follow-up affirmed a satisfactory surgical outcome. Conclusion: This case study illustrates the potential for an optimistic prognosis in CM III, even when accompanied by complex conditions such as KFS, through early diagnosis and intervention. It underscores the significance of antenatal screening for effective care planning and calls for further research and publications due to the rarity of this association. These findings contribute to our understanding of CM III and its related conditions, emphasizing the need for open-minded consideration of potential embryological associations. [ABSTRACT FROM AUTHOR]

Background: Five-fifths of all incidents of blindness in Saudi Arabia may be attributed to cataracts. Cataracts are the second major cause of blindness, responsible for 35.5% of cases. Therefore, the purpose of the research was to measure the visual acuity improvement after cataract surgery in children. Materials and Methods: This systematic review followed PRISMA guidelines for reporting systematic reviews. All procedures followed the recommendations of the Cochrane handbook. Studies of varying study designs, both published and unpublished, are included. Retrospective studies with outcomes of pediatric cataract surgery were identified from various databases. Result: After an initial screening, 108 out of 167 items were deemed unsuitable for publication. There were 59 full-text papers assessed for inclusion, and only seven matched the criteria. All the articles included were of a very high standard. Both the duration of therapy and the target population varied widely between the studies. Conclusion: The results indicated that the majority of childhood cataracts are hereditary. Primary posterior capsulectomy and anterior vitrectomy combined with cataract extraction and intra-ocular lens implantation is the treatment of choice for pediatric cataracts. It is recommended that surgery be performed in a properly equipped facility staffed by trained, cooperative personnel and that different procedures be used to enhance post-operative follow-up. [ABSTRACT FROM AUTHOR]

Integrating renewable energy sources (RES), such as photovoltaic (PV) systems, into power system networks increases uncertainty, leading to practical challenges. Therefore, an accurate photovoltaic (PV) power prediction model is required to provide essential data that supports smooth power system operation. Hence, the work presented in this paper compares and discusses the results of different machine learning (ML) techniques in predicting the power produced by the 300 MW Sakaka PV Power Plant in the north of Saudi Arabia. The validation of the presented work is performed using real-world operational data obtained from the specified solar farm. Several performance measures, including accuracy, precision, recall, F1 Score, and mean square error (MSE), are used in this work to evaluate the performance of the different ML approaches and determine the most precise prediction model. The obtained results show that the Support Vector Machine (SVM) with a Radial basis function (RBF) is the most effective approach for optimizing solar power prediction in large-scale solar farms. [ABSTRACT FROM AUTHOR]

Newcastle disease (ND) is a tremendously contagious avian infection with extensive monetary ramifications for the chicken zone. To reduce the effect of ND on the Saudi rooster enterprise, our analysis emphasizes the necessity of genotype-particular vaccinations, elevated surveillance, public recognition campaigns, and stepped-forward biosecurity. Data show that one-of-a-kind bird species, outdoor flocks, and nearby differences in susceptibility are all vulnerable. The pathogenesis consists of tropism in the respiratory and gastrointestinal structures and some genotypes boom virulence. Laboratory diagnostics use reverse transcription-polymerase chain reaction, sequencing, and serotyping among different strategies. Vital records are supplied through immune responses and serological trying out. Vaccination campaigns, biosecurity protocols, and emergency preparedness are all covered in prevention and manipulation techniques. Notably, co-circulating genotypes and disparities in immunization regulations worry Saudi Arabia. The effect of ND in Saudi Arabia is tested in this paper, with precise attention paid to immunological reaction, pathogenesis, susceptibility elements, laboratory analysis, and preventative and manipulation measures. Saudi Arabia can shield its bird region and beef up its defences against Newcastle’s ailment, enforcing those hints into its policies. [ABSTRACT FROM AUTHOR]

This paper is devoted to the analysis of air temperature and humidity changes during the two solar eclipses of 26 December 2019 and 21 June 2020 in Saudi Arabia based on data we collected from two different sites. We highlight the complexity of humidity's response to a solar eclipse, which is quite different from temperature's response. During the December event, the Sun rose already partially eclipsed, while for the June eclipse, it was only partial at Riyadh. This difference apparently affected the observed response on the recorded variables: temperature, relative humidity (RH), and vapor pressure (VP) in the two events. Changes in these variables went unnoticed for the first eclipse since they were within the natural variability of the day; yet for the other, they showed evident alterations in the slopes of the major parameters, which we analyze and discuss. A decrease in temperature of 3.2 °C was detected in Riyadh. However, RH and VP showed an oscillation that we explain taking into account a similar effect reported in other eclipses. We measured a time lag of about 15 min from the eclipse central phase in the city. Related fluctuations and dynamics from the computed rates of the temporal variation of temperature and RH are scrutinized. Furthermore, an overdue significant review of terrestrial atmospheric parameters is also offered in the context of the eclipse meteorology, particularly related to desert atmospheres. We also try to identify the influence of solar eclipses in similar environments doing a broad inter-comparison with other observations of these variables in the Near East, northern Africa, and in the United States. These inter-comparisons reveal how complex and dissimilar the response of the lower atmosphere to a solar eclipse can be within a desert environment and other similar environments. [ABSTRACT FROM AUTHOR]

The Kingdom of Saudi Arabia is experiencing a surge in electricity demand, with power generation increasing 4 times in 25 years from 1990 to 2014. Despite the abundant primary renewable energy sources, the country has overlooked them in the past in national energy policies. However, in recent years, renewable energy has become a part of the Kingdom of Saudi Arabia's energy conservation policy due to climate changes, technological progress, economies of scale, and increased competitiveness in supply chains. The Saudi government has created the King Abdullah City for Atomic and Renewable Energy (KACARE) to develop national strategies for effectively utilizing renewable and nuclear energy. This paper reviews the current state of the art of the renewable energy technologies available on the market and evaluates the installation of renewable energy plants near Saudi Arabia's East Coast for a new town, focusing on technical rather than economic aspects. The paper provides a wide review of the possible technical solutions to exploit the producibility of different renewable sources, considering the challenging climate conditions typical of desert areas. The analysis of a real case study shows a high availability of wind and solar irradiance that allow a net energy production of 354 and 129 GWh, respectively. In addition, the comparison between a typical ground-mounted photovoltaic (PV) system and an emerging floating PV reveals that for the same installed power, occupied area, and environmental conditions, the latter has a 4% greater performance ratio due to the cooling effect of water. [ABSTRACT FROM AUTHOR]

Motivated by large oil price swings, high economic and geopolitical uncertainties, and the financialization of oil, this paper examines the frequency spillovers and co-movements between oil shocks (risk and demand) and the stock markets of top oil-producer and consumer countries, namely, Canada, China, Russia, Saudi Arabia, and the US. The analysis uses the time-domain spillover index of [1], the frequency-domain spillover of [2]; and the wavelet coherence approach. The findings reveal that spillovers run from the U.S., Canada, and, to a lesser extent, Russia to oil shocks. On the other hand, oil shocks, Saudi Arabia, and China constitute net receivers of shocks. The intensity of spillovers is heavier in the short-term frequency than in the intermediate- and long-term. Furthermore, the direction of spillovers is more defined in the long-term. The U.S. stock market exerts a strong impact on oil risk in general, but the impact is stronger in the short-term. Conversely, an oil demand shock is susceptible to innovations from Canada and Russia that are stronger in the long-term. This means that oil risk shock stemming from innovations in financial markets is short-lived and dissipates quickly due to quick reactions from market participants. On the contrary, long-term links characterize the relationship between oil demand shock and financial markets, mirroring the macroeconomic nature of the linkages. Finally, while the 2008 crisis, EDC, oil price crash, and the COVID-19 pandemic coincided with strong spillovers in the short-term, the COVID-19 era was marked by higher spillovers in the long term. The findings provide important information for investors and policymakers in terms of diversification, risk management, and efforts to mitigate contagion. • This paper examines the frequency spillovers and co-movements between oil shocks and the stock markets. • We use the time-frequency spillover index method and the wavelet coherence approach. • Spillovers run from the U.S., Canada, and, to a lesser extent, Russia to oil shocks. • Oil shocks, Saudi Arabia, and China constitute net receivers of shocks. • The intensity of spillovers is heavier in the short-term frequency than in the intermediate- and long-term. [ABSTRACT FROM AUTHOR]

Governments worldwide have introduced diverse billing methods and regulations to promote the adoption of photovoltaic (PV) systems, aiming to reduce greenhouse gas emissions. This paper aims to develop a billing policy for installing rooftop PV systems in the Kingdom of Saudi Arabia by studying policies implemented to support installing PV systems in leading countries. Initially, the system is evaluated using the tariff predetermined by Saudi Electricity Cogeneration Regulation Authority under three different policies: a Feed-in Tariff (FIT), net metering, and net billing for different sizes of solar systems 10 kW, 15 kW, and 20 kW. The findings suggest a considerable discounted payback period ranging from 14 to 20 years under the net metering framework with the current tariff structure. In contrast, investments under FIT and net billing schemes do not appear to be viable. Thus, a tariff schedule, tailored according to the consumer-preferred payback period, is proposed. For a payback timeframe of 6–10 years, the tariff should range between $0.09–0.06 $/kWh within the FIT scheme. However, in the case of a net billing policy, the tariff should vary between $0.123–0.066 $/kWh. These findings suggest the supremacy of the FIT scheme, particularly if the government determined to use the low tariff policy. [ABSTRACT FROM AUTHOR]

This paper presents a multi-objective framework for designing a hybrid photovoltaic energy and battery storage system (PV/Battery) with the aim of minimizing the cost of electricity, loss of energy expectation, and loss of load expectation. Focusing on meeting the energy demand of a commercial complex in Al-Jubail industrial city, Saudi Arabia, utilizing real-world data, the proposed framework employs the multi-objective improved manta ray foraging optimization algorithm in conjunction with fuzzy decision-making. To enhance algorithm performance and prevent premature convergence, a Learning-based Hunting Movement Strategy is incorporated. Results highlight the superior performance of Case 3, achieving an optimal balance between cost and reliability. The obtained values for cost of electricity, loss of energy expectation, and loss of load expectation are 0.2255 $/kWh, 170.67 kWh/yr, and 14 h/yr, respectively. This study emphasizes the strengthened capability of the algorithm, augmented through the Learning-based Hunting Movement Strategy, establishing its superiority over established multi-objective methods with a higher percentage of dominant solutions. • Multi-objective design of an HPV/Battery system with data from Al-Jubail industrial city, Saudi Arabia. • Multi-objective optimization framework considering the objectives of COE, LOEE, and LOLE. • Fuzzy decision-making to determine the interactive solution from the Pareto solutions. • Improved manta ray foraging optimization based on a learning-based hunting movement strategy. • Comparison of the MOIMRFO with well-known multi-objective algorithms in design problem. [ABSTRACT FROM AUTHOR]

In 2022, Saudi Arabia's anthropogenic greenhouse gas emissions amounted to 810 million tons of CO 2 e. The country has pledged to cut its emissions by 278 million tons of CO 2 e per year by 2030. This paper contributes a modeling view on the climate-related effects of various energy policies on the Saudi energy system. We use an energy system model designed to represent seven sectors in the Saudi economy. In addition to a baseline, which entails the continuation of current domestic policies, we look at a scenario that incorporates some of the plans announced by the Saudi government. We also examine the baseline scenario with a cap on total CO 2 emissions equal to those exhibited with the announced plans. The model then makes the necessary decisions to abate CO 2. We find that the energy system contributes 130 million tons of CO 2 e to the nationally determined contribution amount in 2030. Also, a non-prescriptive scenario that caps energy-system CO 2 emissions produces the same emissions reductions as the announced plans while lowering the present cost by 2030 by $70 billion. The corresponding implicit marginal abatement cost of CO 2 approaches 35 $/tonCO 2 by 2045. This cost would displace around half of crude and fuel oil use in the Saudi energy system. • Saudi Arabia plans to cut annual greenhouse gas emissions by 278 million tonsCO 2 e. • We use a multi-sector model built from the ground up for Saudi Arabia. • The energy system can contribute 130 million tons of CO 2 e in reductions in 2030. • We find a scenario that achieves GHG abatement at a lower cost than official plans. • The marginal value attributed to CO 2 approaches 35 $ per tonCO 2 by 2045. [ABSTRACT FROM AUTHOR]

This paper explores the formation and evolution of high-elevation passive margins, focusing on the morphology and uplift processes of the eastern Red Sea region and its relationship to the stratigraphy of the Red Sea (source-to-sink approach). We address gaps in our understanding of the origin and persistence of erosional escarpments along rifted margins and their connection to continental rifting. To achieve this, the research combines geological observations, geomorphic mapping and reconstructions of past topography to estimate erosion and compare it to accumulated sediment volumes in the basins. The study presents a landform map and an age model of landscape evolution of the Eastern Red Sea Rifted Margin (ERSRM), identifying 4 phases of erosion affecting two separate domains. On the Arabian plateau, remnants of the African surface (S I) and an Oligocene planation surface (S II) were rifted, uplifted and exhumed during rifting, and refreshed (S III) since the onset of seafloor spreading. West of the escarpment, a young (< 15 Ma) foothill belt (S IV) was carved by the eastward retreat of the Arabian Escarpment. We identified three different settings controlling the escarpment evolution and coastal plain morphology along the margin from north to south: (1) escarpment retreat from the rift fault towards the interior in the northernmost Red Sea, (2) escarpment retreat synchronously from two parallel rift faults and capture of a former endorheic drainage system, resulting in the formation of the biggest catchment in western Saudi Arabia (i.e., Wadi Hamd), and (3), escarpment retreat within a downwarped margin in the southern Red Sea, accompanied by sustained flexural uplift. These settings are the result of rift inherited structures segmenting the Red Sea, as well as the effect of the AFAR hotspot fading towards the north around the Jeddah latitude. Furthermore, we demonstrate that the escarpment evolution was not a steady process, as at the end of rifting ∼16 million years ago, erosion rates were high and remain relatively high (although decreasing) up to 5 million years. Then a dramatic drop in erosion rates occurred, documenting the cessation of the escarpment retreat. We link this decrease in erosion and sedimentation rates to a global aridification of the climate throughout the Plio-Pleistocene. Finally, we discuss the complexity of escarpment evolution, both in terms of time and space, mitigating the often simplified vision of linear escarpment evolution. By bridging the gap between onshore geomorphic evolution and coastal basin stratigraphy, this study contributes to a comprehensive understanding of the long-term evolution of rifted margins. [ABSTRACT FROM AUTHOR]

• Global focus: Clean hydrogen production and utilization. • KSA's commitment: Saudi Green Initiative for net-zero by 2060. • Review: Hydrogen energy, production, storage, and UHS in KSA. • Suitable geologic media: Sandstone reservoirs, sedimentary formations in KSA. Hydrogen (H 2) production and its large-scale utilization as a clean energy source have gained considerable global attention to address the perspective on climate change. Approximately half of the global hydrogen production is achieved through the steam methane reforming (SMR) method. Among various methods, additional energy from renewable sources, particularly wind, and solar, is of great importance for green hydrogen production via electrolysis. A giant depleted gas field can store H 2 to fulfil the domestic energy requirements. In 2021, the Kingdom of Saudi Arabia (KSA) announced the Saudi Green Initiative as one of the key pillars to reach net-zero carbon released by 2060. Aramco has produced and shipped blue ammonia to Japan for hydrogen production to support climate change perspective. The purpose of this paper is to review hydrogen energy in terms of production, transportation, storage, and suitable geologic media for underground hydrogen storage (UHS) technology in the KSA. Notably, the KSA possesses abundant resources and well-established infrastructure, enabling it to efficiently and competitively produce clean hydrogen. We highlight that the production, transportation, storage, and the challenge of leakage are important factors to implement UHS in geologic media. Furthermore, depleted reservoirs composed of sandstone rocks offer lesser challenges in terms of storage capacity and injectivity compared to other types of storage media. The country has large underground reservoirs (igneous and sedimentary rocks) that can be used for hydrogen storage, however, the geological structures need a thorough characterization to ensure economic injectivity and containment security. Specifically, the western region is predominantly composed of igneous rock, and carbon mineralization is highly suitable. In contrast, the eastern part is enriched in sedimentary formations with potential for UHS. This review, including an assessment guideline, helps to understand and advance the deployment of UHS in the KSA and provides a framework for a comprehensive assessment of qualified reservoirs for large-scale storage projects. [ABSTRACT FROM AUTHOR]

This paper reports the results of a large integrated study into the classification, distribution and significance of hypogenic non-matrix large-scale dissolution features present in the Arab Formation of Saudi Arabia. The investigation of these features was based primarily on extensive core, wireline caliper, wireline/log while drilling resistivity borehole image logs supported by encountered total lost circulation of drilling fluids and production log data. Dissolution features observed by this study were classified into three main categories: touching vugs, ramiform voids, and cavities. This study is the first to successfully quantify the presence and extent of these non-matrix intervals in this formation, which has greatly improved the 3D modelling efforts. Over 8100 feet of large-scale dissolution features were intersected in both vertical and horizontal wells. The hypogenic genesis of the large-scale dissolution features pre-dates replacement dolomitization in the area. Given the extensive data reviewed, the presented results give insight into the importance of the large-scale dissolution mega features as they are strongly related to total loss of mud circulation during drilling, and will have implications for well-to-well short-cutting during production and impact oil storage capacity. • First citation the presence of subsurface hypogenic non-matrix large-scale dissolution features. • Over 8100 feet of large-scale voids intersected in both vertical and horizontal wells. • Ultra-k is introduced as the term that differentiates matrix from non-matrix permeability. • Intersecting a dissolution feature while drilling horizontal wells accounts for 98% of the cases for total losses of drilling fluids. [ABSTRACT FROM AUTHOR]

This study aims to evaluate the provenance of sandstones of the Ash Shumaysi Formation (Early Eocene to Oligo-Miocene) exposed in the Jeddah-Makkah region (an intra-continental cratonic region in the west of the central part of the Arabian Shield), in addition to re-establish the tectonic setting, paleoclimate and paleo-weathering of their source rocks. This aim has been achieved by petrographic investigation and geochemical (major, trace and rare earth elements) analysis of the sandstones. Integration of both petrographic and geochemical data reflects a derivation of the sandstones from intensively-weathered and multi-recycled felsic igneous (granites) rocks, with a minor contribution of intermediate (granodiorite), mafic igneous (andesite), metamorphic (mainly gneisses) and recycled sedimentary rocks, which correspond to the Precambrian rock units of the west of the central part of the Arabian Shield. The latter was developed under semi-humid climatic conditions in the source area. Tectonically, the source rocks are of a cratonic interior in a passive continental margin of the Upper Continental Crust. This passive continental margin was later affected by rifting as revealed from the discrimination function diagrams of high-silica samples of sandstones. In general, the Ash Shumaysi sandstones may represent erosional products of the nearby high-topographic crystalline rocks of the Western Arabian Shield that were located in a tectonically stable passive margin subjected to a subsequent continental rift. Results of this study could add to the knowledge about paleoweathering, paleoclimate and tectonic setting in the Arabian Shield which is a part of the southern margin of the broad stable continental shelf of the northern margin of the Gondwana supercontinent. [Display omitted] • This paper aims to evaluate the provenance of sandstones of the Ash Shumaysi Formation. • Tectonic setting, paleoclimate and paleo-weathering of their source rocks are re-established. • Tectonically, the source rocks are of a cratonic interior in a passive continental margin. • Semi-humid climatic conditions were prevailed in the source area. [ABSTRACT FROM AUTHOR]

Saudi Arabia plans to shift a large portion of its domestic energy production away from fossil fuel towards solar energy by 2030. Yet, the solar energy pool is mainly targeting photovoltaic technology. This study analyzes the potential of cleaner energy production from solar energy using concentrated solar power technology. First, different locations for concentrated solar power technology deployment are assessed based on potential development opportunities, solar resources, and infrastructure. Second, the paper assesses the performance and financial feasibility of four concentrated solar power technologies using the capacity factor, levelized cost of energy, and energy yield. The analysis indicates that all the considered locations are suitable for concentrated solar power technologies with a preference for the NEOM city located in the northern region of Saudi Arabia. The simulation results revealed that solar tower technology produces the highest energy yield of 2738 kWh/kW. The levelized cost of energy for the four technologies varies between 14.54 and 22.67 ¢/kWh, with linear Fresnel demonstrating the lowest and parabolic trough exhibiting the highest levelized cost of energy. [ABSTRACT FROM AUTHOR]