Recent atmospheric changes and future projections along the Saudi Arabian Red Sea Coast

Recent and future climate diagrams (surface air temperature, surface relative humidity, surface wind, and mean sea level pressure) for the Saudi Arabian Red Sea Coast are analysed based on hourly observations (2016–2020) and hourly ERA5 data (1979–2020) with daily GFDL mini-ensemble means (2006–2100). Moreover, GFDL mini-ensemble means are calculated based on the results of three GFDL simulations (GFDL-CM3, GFDL-ESM2M, and GFDL-ESM2G). Observation data are employed to describe the short-term current weather variability. However, ERA5 data are considered to study the long-term current weather variability after bias removal via a comparison to observations. Finally, a bias correction statistical model was developed by matching the cumulative distribution functions (CDFs) of corrected ERA5 and mini-ensemble mean data over 15 years (2006–2020). The obtained local statistic were used to statically downscale GFDL mini-ensemble means to study the future uncertainty in the atmospheric parameters studied. There occurred significant spatial variability across the study area, especially regarding the surface air temperature and relative humidity, based on monthly analysis of both observation and ERA5 data. Moreover, the results indicated that the ERA5 data suitably describe Tabuk, Jeddah and Jizan weather conditions with a marked spatial variability. The best performance of ERA5 surface air temperature and relative humidity (surface wind speed and sea level pressure) data was detected in Tabuk (Jeddah). These data for the Saudi Arabian Red Sea coast, 1979–2020, exhibit significant positive trends of the surface air temperature and surface wind speed and significant negative trends of the relative humidity and sea level pressure. The GFDL mini-ensemble mean projection result, up to 2100, contains a significant bias in the studied weather parameters. This is partly attributed to the coarse GFDL resolution (2° × 2°). After bias removal, the statistically downscaled simulations based on the GFDL mini-ensemble mean indicate that the climate in the study area will experience significant changes with a large range of uncertainty according to the considered scenario and regional variations.

Artificial intelligence, financial anxiety and cashier-less checkouts: a Saudi Arabian perspective

PurposeThis paper aims to investigate the impact of financial anxiety and convenience on the relation between cashier-less versus traditional checkouts and purchase intentions among Saudi Arabian consumers.Design/methodology/approachIn an online experiment, 329 Saudi participants were randomly assigned to one of two checkout conditions (traditional vs. AI-enabled) in a between-subjects design and indicated their financial anxiety. Through moderation-of-process design, the authors examine and showcase that the effect of convenience leads to higher purchase intent for AI-enabled checkouts. Moreover, the authors examine financial anxiety as an underlying mechanism and show that for high-convenience consumers, this enacts higher purchase intent.FindingsThe effect of AI-enabled checkouts depends on consumers' convenience perception. High-convenience consumers prefer AI-enabled checkouts over traditional ones, whereas low-convenience consumers are indifferent. Based on the Roy adaptation model theoretical framework, this occurs because high-convenience consumers experience greater financial anxiety when using AI-enabled checkouts, which in turn leads to higher purchase intent.Originality/valueTo the authors’ knowledge, this is the first study to explore the reactions of Saudi Arabian consumers toward cashier-less stores versus traditional stores. Interestingly, their intent to purchase increases, due to the financial anxiety they experience while encountering AI-enabled transactions. Due to the limited research of retailers going cashier less, little is known about consumer reactions and how they may differ culturally.

Regime Shifts in Future Shoreline Dynamics of Saudi Arabia

The Saudi Arabian tourism sector is growing, and its economy has flourished over the last decades. This has resulted in numerous coastal developments close to large economic centers, while many more are proposed or planned. The coastal developments have influenced the behavior of the shoreline in the past. Here we undertake a national assessment on the state of the coast of Saudi Arabia based on recent data sets on historic and future shoreline positions. While at national scale the shoreline is found to be stable over the last three decades, the Red Sea coast shows a regional-mean retreat rate while the Gulf coast shows a regional-mean prograding behavior. Detailed analysis of the temporal evolution of shoreline position at selected locations show that human interventions may have accelerated shoreline retreat along adjacent shorelines, some of which are Marine Protected Areas. Furthermore, reef-fronted coastal sections have a mean accretive shoreline change rate, while the open coast shows a mean retreat rate. Future shoreline projections under RCP 4.5 and RCP 8.5 show that large parts of the shoreline may experience an accelerated retreat or a change in its regime from either stable or sprograding to retreating. Under the high emission RCP 8.5 scenario, the length of coastline projected to retreat more than doubles along the Red Sea coast, and approximately triples along the Gulf coast in 2100. At national scale, the Saudi Arabian coastline is projected to experience regional-mean retreats of ~30 m and of ~130 m by 2050 and 2100 under both RCPs considered in this study. These results indicate that effective adaptation strategies will be required to protect areas of ecological and economic value, and that climate resilience should be a key consideration in planned or proposed coastal interventions.

Correlation between ABO Blood Group Phenotype and the Risk of COVID-19 Infection and Severity of Disease in a Saudi Arabian Cohort

Background Disease severity among patients infected with SARS-CoV-2 varies remarkably. Preliminary studies reported that the ABO blood group system confers differential viral susceptibility and disease severity caused by SARS-CoV-2. Thus, differences in ABO blood group phenotypes may partly explain the observed heterogeneity in COVID-19 severity patterns, and could help identify individuals at increased risk. Herein, we explored the association between ABO blood group phenotypes and COVID-19 susceptibility and severity in a Saudi Arabian cohort. Methods In this retrospective cohort study, we performed ABO typing on a total of 373 Saudi patients infected with SARS-CoV-2 and conducted association analysis between ABO blood group phenotype and COVID-19 infection severity. We then performed gender-stratified analysis by dividing the participating patients into two groups by gender, and classified them according to age. Results The frequencies of blood group phenotypes A, B, AB and O were 27.3, 23.6, 5.4 and 43.7%, respectively. We found that blood group phenotype O was associated with a lower risk of testing positive for COVID-19 infection (OR 0.76 95% CI 0.62–0.95, p = 0.0113), while blood group phenotype B was associated with higher odds of testing positive (OR 1.51 95% CI 1.17–1.93, p = 0.0009). However, blood group phenotype B was associated with increased risk in the mild and moderate group but not the severe COVID-19 infection group. Blood group phenotype O was protective in all severity groups. Conclusion Our findings provide evidence that blood group phenotype B is a risk for COVID-19 disease while blood group phenotype O is protective from COVID-19 infection. However, further studies are necessary to validate these associations in a larger sample size and among individuals of different ethnic groups.

The challenges confronting the training needs assessment in Saudi Arabian higher education

This research examines the problems encountered by the Training Needs Assessment (TNA) system from the perspective of faculty members and Human Resources (HR) managers in emerging public universities in the Saudi Arabian Higher Education sector. It aims to understand how problems with this will affect the success rate of Training and Development (T&D) curriculums. The research comprises an analytical study using a case study method of analysis. Qualitative data collection was carried out using semi-structured interviews with 75 senior managers and faculty members of four selected universities, selected using purposive non-random sampling. The data was analysed using Thematic Analysis (TA). The results highlight the insufficiency of the TNA techniques applied to ascertain training requirements. The primary obstacles to successful TNA were inadequate HR processes, insufficiently experienced HR directors, poor engagement, and favouritism concerning the selection of candidates for T&D. These issues affect the enthusiasm of those in the department. Additionally, resources required for T&D, particularly time and money, are misused, which could influence the growth potential of the universities against the country’s Vision 2030 plan. The findings indicate procedural differences in selecting and approving staff requests for Human Resource Development (HRD) support, managerial discretion in selecting participants for HRD programmes, and selective or restricted access to HRD programmes for foreign-born employees, which raises significant questions about equality policies. This study is unique as a contribution to the literature in exploring the challenges faced by the TNA process in Saudi Arabian Higher Education, therefore broadening understanding in the field as a whole, especially concerning the developing countries and Gulf Cooperation Council of Nations. The study concludes that there is currently unsatisfactory commitment in determining the staff training needs by the HR departments of Saudi Arabian public universities, which damages morale and leads to a lack of faith between HR directors and departmental staff. Finally, this study contributes to the area of policy decision-making by reporting the present situation surrounding the issues related to the application of TNA in T&D.

Factors in Saudi FDI Inflow

This study explores the driving factors for attracting Foreign Direct Investment (FDI) inflow in the Saudi Arabian economy in two stages. First, it applies a general to specific approach to form a model reflecting theoretical and anecdotal evidence of the Saudi Arabian economy. Second, we analyse time series data over the years 1984 to 2018. applying Autoregressive Distributed Lags (ARDL) approach, incorporating several structural breaks. This study explores Saudi membership of the World Trade Organization (WTO) and institutional quality, identifying them as promising factors in fostering FDI inflows in the economy. Our empirical investigation demonstrates that the Saudi economy experienced a higher inflow of FDI during the global financial crisis (GFC) due to economic stability. Trade openness is found to be conducive to promote FDI inflow. This study provides several policy implications.

Estimation of an Individual Stature Using Foot, Foot Outlines and Footprint Measurements in Adult Saudi Population

Identification of an individual is considered one of the fundamental challenges for forensic scientists, especially from dismembered and mutilated body parts. To limit the pool of conceivable suspects in the forensic investigation process, footprints and foot outlines found at the crime scene are used to ease estimation of stature. The current study aimed to estimate individual stature using foot, foot outline and footprint measurements in a Saudi Arabian population. A descriptive cross-sectional study was carried out on two hundred healthy medical students from the Faculty of Medicine at the University of Tabuk in Saudi Arabia. Stature measurements and eight foot, foot outline and footprint measurements were taken from both sides. Saudi adult males were significantly taller than Saudi females. All measurement values were significantly higher in adult males than in adult females. Most measurements were considered to be positively correlated with stature in both sexes. Regression equations and multiple regression equations for stature determination from all measurements in both male and females on both sides were created. This study has demonstrated the reliability and utility of foot, foot outline and footprint measurements in stature estimation in a Saudi Arabian population that comparable standards developed from foot bones.

The Nexus among Competition, Risk and Performance in Banking Sector of Saudi Arabia

The determination behind this research paper is to inspect the relation among competition, risk, and financial performance in the Saudi Arabian banking sector for 2011-2019. This paper used Two steps Generalized Method of Moment (GMM) as an estimation technique. This study focused on Lerner Index and Herfindahl-Hirschman Index to gauge bank competition and used three alternative measures for risk, namely credit risk, liquidity risk, and z-score. The coefficients of the Lerner Index and Herfindahl-Hirschman Index are significant and positive with profitability which signifies that higher competition in Saudi Arabian banks led to a decrease in profitability which is explained in the Structural Conduct Performance Hypothesis. Z-score shows a significant positive relationship with profitability. Credit risk has a positive relationship with profitability reveals that risk-adjusted returns are being targeted by risk-averse shareholders trying to gain more profits to compensate for the higher credit risk. The outcome of the study provides a comprehensive framework to the Central bank and other regulatory authorities to introduce micro and macro prudential policies that are aligned to the stability of the financial system.

Root Resorption of Adjacent Teeth Associated with Maxillary Canine Impaction in the Saudi Arabian Population: A Cross-Sectional Cone-Beam Computed Tomography Study

This study aimed to identify the location of root resorption in relation to an impacted maxillary canine and grade its severity using cone-beam computed tomography (CBCT) in the Saudi Arabian population. Materials and Methods: CBCT scans of 169 patients with maxillary canine impaction were evaluated. The location and the severity of root resorption of the affected tooth in relation to the impacted maxillary canine were recorded for each patient. Results: a total 204 impacted maxillary canines caused root resorption in 218 adjacent teeth. Maximum root resorption was present in 63.3% of the apical one-third of the root and 37.6% of the palatal surfaces. There was mild root resorption in 55%, moderate in 10% and severe in 35%. There was no statistically significant difference between the gender, age, type of impaction, side of impaction, and the number, location, or degree of root resorption. Multiple logistic regression models showed significant association (p = 0.024) between gender, type of impaction, and root resorption. A significant correlation was found between the level and the surface of the root resorption (p = 0.018). Conclusion: In the Saudi population, apical one-third root levels and palatal surfaces were primarily involved in root resorption caused by impacted canines. The females with bilateral canine impaction were more likely affected by root resorption.