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The COVID-19 virus pandemic has caused all governments to implement distance learning by utilizing information technology, including in academic advising. Studies conducted during the pandemic have shown changes in higher education institutions and students. This study aimed to find out and analyse the level of students' satisfaction with academic advising during the COVID-19 pandemic at public and private universities using five satisfaction indicators, namely tangibles, reliability, responsiveness, assurance, and empathy. The survey was conducted online, involving 1158 students from a total of 6 public and private universities in the city of Banjarmasin, Kalimantan Island, Indonesia. The data findings showed that in relation to the academic advising given during the COVID-19 pandemic, the students' satisfaction levels toward the provision of academic advising at both public and private universities during the COVID-19 pandemic were in the same category, which was "very satisfied". Thus, students' satisfaction levels toward academic advising at the university in Banjarmasin were very high, the demographic characteristics of the students, academic advisors, frequency of academic advising meetings and method of the academic advising meetings explained the significant differences in the students' satisfaction levels toward academic advising during COVID-19.

Background & objectives: Dengue poses a considerable public health threat in Saudi Arabia, with escalating outbreaks in Jazan, where seasonal rains create ideal mosquito breeding conditions. Elucidating local epidemiological dynamics is imperative to strengthen evidence-based prevention policies. This study analyzed the spatiotemporal, demographic, and meteorological patterns of dengue in Jazan from 2015-2020. Methods: This retrospective cross-sectional study utilized surveillance records for 3427 confirmed dengue cases. Descriptive analyses characterized geographic, seasonal, age, gender, and nationality distributions. Forecasting models project expected epidemics through 2025. Regression analysis identified climate factors associated with monthly case counts. Results: Dengue exhibited shifting seasonal peaks, transitioning into year-round transmission by 2019, indicating endemic establishment. Cases clustered in different high-burden sectors annually, requiring localized vector control. The majority of affected individuals were young male adults, with gender gaps narrowing over time. Saudi nationals had an escalating incidence, but non-citizens showed a higher risk, signaling importation threats. Seasonal outbreaks were associated with temperature, wind speed, and direction. Interpretation & conclusion: Enhanced surveillance, outbreak forecasting, targeted control activities, and integrated prevention policies grounded in continuous evidence assessment can effectively address endemic dengue transmission in Jazan. This study provides key insights to optimize data-driven decision-making for dengue control in Saudi Arabia.

Background: Patients with multiple myeloma (MM) are at risk of venous thromboembolism (VTE), worsened by immunomodulatory drugs. Although antithrombotics are recommended for prophylaxis, existing guidelines are suboptimal and treatment outcomes remain unclear. Objectives: This study aimed to investigate adverse events, antithrombotic utilization, and their associations with survival outcomes in patients with MM initiating multi-drug immunomodulatory combinations. Design: A posthoc analysis of individual-participant level data (IPD). Methods: IPD from three daratumumab clinical trials (MAIA, POLLUX, and CASTOR) were pooled. Adverse events incidence and antithrombotic utilization were assessed. Logistic and Cox regression were utilized to examine associations between antithrombotics use with adverse events and survival outcomes at the baseline and 6-month landmark. Results: Among 1804 patients, VTE occurred in 10%, bleeding in 14%, ischemic heart disease in 4%, and stroke in 2%. Patients with these adverse events demonstrated elevated rates of any grade ⩾3 events. Antiplatelet (primarily aspirin) and anticoagulant (primarily LMWH and direct oral anticoagulants) prescriptions have seen an increase from baseline (25% and 14%, respectively) to 6 months (35% and 31%). The primary indication for their use was prophylaxis. Anticoagulant use within 6 months was associated with reduced VTE (OR (95% CI) = 0.45 (0.26–0.77), p = 0.004), while antiplatelet use showed no associations with any evaluated adverse events. Antithrombotics and survival outcomes had no significant associations. Conclusion: This study underscores the complexities of antithrombotic therapy and adverse events in MM and highlights the need for vigilant and proactive management due to increased grade ⩾3 adverse events. While anticoagulant use was associated with reduced VTE risk, further research is needed to optimize thromboprophylaxis guidelines and explore antithrombotic efficacy and safety in patients with MM. Trial registration: MAIA (NCT02252172), POLLUX (NCT02076009), CASTOR (NCT02136134).

Abstract Background The use of prophylactic drainage after laparoscopic cholecystectomy has been a routine practice for many years. However, the debate surrounding using it stems from conflicting evidence regarding its potential benefits and risks. Methods Patients who underwent laparoscopic cholecystectomy from February 1, 2022, to November 30, 2022, at Aleppo University Hospital were enrolled according to our previously registered protocol (NCT05267860). Results This study included 232 patients (117 in the drainage group [DG], and 115 in the non‐drainage group [NDG]). There was no statistical difference in the patients' main characteristics, comorbidities, and laboratory findings. The duration of the surgical operation in NDG (mean = 44.92, SD = 1.85) was shorter than in DG (mean 55.14, SD = 2.14), with (p = 0.039) statistically significant, which indicates that the use of the drainage led to a prolongation of the surgical operation. The total number of complicated cases reached 22 (9.48%) cases (DG = 9 vs. NDG = 13, p = 0.348) as follows: bleeding (n = 1) (DG = 1 vs. NDG = 0; p = 0.320), bile leak with no established bile duct injury (n = 1) (DG = 1 vs. NDG = 0; p = 0.320), wound infection (n = 12) (DG = 4 vs. NDG = 8; p = 0.443), urinary tract infection (n = 3) (DG = 0 vs. NDG = 3; p = 0.079), prolonged shoulder pain (n = 2) (DG = 0 vs. NDG = 2; p = 0.152), and acute pancreatitis (n = 1) (DG = 1 vs. NDG = 0; p = 0.144). Conclusion Based on the results of our study, the use of prophylactic drainage was safe, but ineffective, as it did not improve the outcomes statistically significantly or worsen them, which is consistent with previous studies highlighting the need for personalized patient care in this setting.

COVID-19 is a highly contagious infectious disease that has posed a global threat, leading to a widespread pandemic characterized by multi-organ complications and failures. Aims: The present study was conducted to evaluate the impact of Pfizer and Sinopharm vaccines on metabolomic changes and their correlations with immune pathways. Main methods: The study used a cross-sectional design and implemented an untargeted metabolomics-based approach. Plasma samples were obtained from three groups: non-vaccinated participants, Sinopharm-vaccinated participants, and Pfizer-vaccinated participants. Comparative metabolomic analysis was conducted using TIMS-QTOF, and multiple t-tests with a 5 % false discovery rate (FDR) were performed using MetaboAnalyst software. Key findings: Out of the 105 metabolites detected, 72 showed statistically significant changes (p-value < 0.05) across the different groups. Notably, several metabolites such as neopterin, pyridoxal, and syringic acid were markedly altered in individuals vaccinated with Pfizer. Conversely, in the Sinopharm-vaccinated group, significant alterations were observed in sphinganine, neopterin, and sphingosine. These metabolites hold potential as biomarkers for evaluating vaccine efficacy. Additionally, both Pfizer and Sinopharm vaccinations were found to influence sphingolipid and histidine metabolisms compared to the control group. The Sinopharm group also displayed changes in lysine degradation relative to the control group. When comparing the enriched pathways between the Pfizer and Sinopharm-vaccinated groups, differences were observed in purine metabolism. Furthermore, alterations in tryptophan and vitamin B6 metabolism were noted when comparing the Pfizer-vaccinated group with both the control and Sinopharm-vaccinated groups. Significance: These findings highlight the importance of metabolomics in assessing vaccine effectiveness and identifying potential biomarkers for monitoring the efficacy of newly developed vaccines in a shorter timeframe.

This study investigates the mediating role of energy efficiency measures in enhancing manufacturing firm performance in Jordan. A conceptual model is developed linking organizational policies, culture, and government incentives to adoption of energy efficiency measures, which in turn impact organizational performance. Data was collected through a survey of 300 manufacturing firms across major industrial sub-sectors in Jordan including food, textiles, chemicals, pharmaceuticals, construction materials, and machinery. Structural equation modeling using SmartPLS software tested the hypothesized relationships. Results provide empirical support for the conceptual framework. Organizational policies, culture emphasizing environmental responsibility, and government incentives positively influence adoption of energy efficiency measures like process optimization, equipment upgrades, and lighting improvements. Greater adoption of these measures enhances manufacturing performance across various dimensions like efficiency, quality, flexibility, and competitiveness. Further, energy efficiency measures strongly mediate the links between organizational policies, culture, incentives and manufacturing performance. The study makes important theoretical contributions to the resource-based view and natural resource-based view in a developing economy context. It also offers actionable implications for manufacturing managers and policymakers regarding energy efficiency strategies and programs. Limitations relating to the cross-sectional design, self-reported data, and generalizability are discussed along with recommendations for future research using longitudinal, qualitative, and multilevel approaches. Overall, the study highlights energy efficiency as a critical capability for boosting competitiveness in manufacturing firms, with mediation analysis elucidating the underlying performance enhancement mechanisms.

The research investigated the relationship among Key Performance Indicators (KPIs), risk assessment capabilities and value creation in service sector firms. The study also sought to examine the effect of KPI`s components on risk assessment & value capitalisation, and how they either facilitate or hinder implementation, monitoring and continuous improvement processes. In this context, a quantitative cross-sectional research design was applied using an online survey of shared middle and senior managers in service organizations. After filtering, the final version of segmented sample included a total of 215 respondents engaged in different service businesses. The analysis was determined using Partial Least Squares Structural Equation Modeling. The results showed that all components of KPIs have significant positive relationships with risk assessment and value improvement outcomes First, performance drivers were found to be the most significant predictor of both constructs. As such, the results show that both risk assessment and value improvement had a positive effect on implementation/monitoring processes which in turn enabled continuous improvements. Performance measurement, risk management and value creation in service organizations: A performance at-risk-based conceptual model. The results have numerous managerial, practical and policy implications for the service sector. This drives home the necessity of creating integrated KPI systems that include risk assessment and value improvement factors. In building on existing theory, the study is of substantial interest in that it provides empirical evidence for these organizational mechanisms related to service organizations. Resilient Organizations in the Service Sector picture of Resilience across Performance Management with KPIs, Risk Assessment and Value Creation strategies offering a comprehensive foundation for sustainable organizational success.

The research investigates the link between technology, organization, and environment, and the uptake of artificial intelligence among SMEs in Jordan. The objective is to get a deeper understanding of the factors that promote or hinder enterprises' use of artificial intelligence during the recruitment of leaders. A total of 295 participants, who were owners or managers in several SME sectors, manufacturing, including services, construction, and agriculture, were selected via judgmental sampling. Data collection was conducted utilizing a survey instrument, and the collected data was processed employing Smart PLS. The findings demonstrated a substantial correlation between attitude toward artificial intelligence uptake and factors such as relative advantage, complexity, top management commitment, and organizational preparedness. Nevertheless, factors like competitive pressure, external assistance, a favorable regulatory environment, compatibility, and staff flexibility do not significantly influence the attitude toward the uptake of artificial intelligence. In summary, these findings provide valuable insights for decision-making and resource distribution. They underscore the significance of factors such as relative advantage, complexity, top management commitment, and organizational readiness in achieving goals in the field of artificial intelligence. Additionally, they identify areas where efforts may not result in significant effects. The practical ramifications and future study paths are emphasized according to current technological needs.

Abstract Proton pump inhibitors (PPIs) are commonly used in cancer patients, but their impact on treatment outcomes in multiple myeloma (MM) patients remains unclear. This study investigated the association of PPI use with survival and adverse effects in MM patients across three randomized-control trials initiating daratumumab, lenalidomide, or bortezomib combination treatments. Cox proportional hazard analysis and logistic regression were employed to assess the associations with treatment outcomes, while adjusting for age, sex, weight, MM international staging system stage, ECOG-performance status, comorbidity count, and presence of gastrointestinal disorders. Pooled data involving 1804 patients revealed that 557 (32%) used PPIs at baseline. PPI use was independently associated with worse overall survival (adjusted HR [95% CI] 1.32 [1.08–1.62], P = 0.007) and grade ≥ 3 adverse events (adjusted OR [95% CI] 1.39 [1.03–1.88], P = 0.030). However, the association with progression-free survival did not reach statistical significance (adjusted HR [95% CI] 1.14 [0.97–1.33], P = 0.112). Findings were consistent across trials and treatment arms. PPI use was identified as a negative prognostic factor in MM patients, potentially enhancing clinical decisions regarding its use. Further research is needed to fully comprehend the impacts and safety of PPI use in MM patients.

Background: Khat has a stimulating and addictive effect and can induce consequences on the health and socioeconomic status of khat chewers. Objectives: This study aims to assess knowledge, attitude, and practice of khat chewing among parents in Jazan and its consequential effect on their children. Methods: This cross-sectional investigation was conducted in the Jazan region of Saudi Arabia. Data was collected via a web-based, self-administered questionnaire measuring demographics, knowledge, attitudes, and practices concerning khat chewing. The Chi-square test or Fisher's exact test was used to assess factors associated with khat chewing among parents and its consequential effect on their children. Results: A total of 724 parents were included. The sample had an overall good knowledge about the health hazards of khat chewing and an attitude against khat chewing. Nonetheless, the number of parents who reported that they had ever tried khat chewing was 200 (27.6%) and 106 parents (14.6%) confirmed that their children were khat chewers. Additionally, 98 (13.5%) parents declared that they practiced khat chewing in front of their children. Higher frequencies of parents who reported providing khat to their children were identified among parents with higher attitude levels that favor khat chewing (P value = 0.04). Conclusions: Efforts should be made to develop targeted preventive and educational strategies to reduce khat chewing among parents who have favorable attitudes toward khat chewing.

This study investigates the relationship between business intelligence adoption (Business Intelligence (BI), Data Analysis and Reporting (DAR), Business Process Integration (BPI), and Continuous Improvement and Innovation (CII)) and marketing effectiveness in the Jordanian telecom industry. It specifically examines the mediating role of customer satisfaction in this relationship. A survey design method using the cross-sectional survey was utilized during the research process, involving quantification. The data was collected from 285 employees across the Jordanian telecom sector via electronic response forms. As the analysis's method, the partial least squares structural equation modeling (PLS-SEM) was utilized. The results, which showed BI, DAR and CII to have a positive direct effect on marketing effectiveness, whilst BPI displayed a negative direct impact, were compelling. But clear signs of positive influence on CS by the four dimensions of BI (BI, DAR, BPI, and CII) have also been observed, and this result has been proved to be a mediator between them and business effectiveness. The above study is a source of invaluable learning for the managers of telecom companies in Jordan is a tool that managers in the Jordanian telecom industry will greatly benefit from in the sense that it brings out all the importance of integrating BI, DAR, BPI, and CII practices that emphasize high quality customer service. By properly utilizing these assets and up-to-the-market, companies can improve the effectiveness of marketing and the whole organizational efficiency. The study enhances the existing theory of the interrelationships between the adoption of business intelligence, customer satisfaction, and marketing power which can be viewed from both resource-based view (RBV) theory and expectation-based theory (EDT). It affirms an idea that the RBV was rooted in that when organizational assets are valuable, firms have a competitive advantage and better performance. Also, an EDT states that customer satisfaction increases if the expectations of customers are met. Innovation - The essay is innovative and takes an original angle to explore the multifaceted interconnectivity among business intelligence adoption, customer satisfaction, and marketing effectiveness in the framework of the Jordanian telecom industry. It highlights the steps to customer satisfaction problem solutions and the caution comes with process integration efforts, hence, helping to arrive at a full comprehension of the aspirations for organizational performance in the field.

This quantitative study investigates the relationships between Management Information Systems (MIS), Business Intelligence (BI), and Strategic Planning (SP) within Jordanian Public Listed Companies, with a focus on the mediating role of BI. The target population comprises employees from the 108 public shareholding companies listed on the Amman Stock Exchange, totaling an estimated 1,080 senior managers involved in strategic planning. A random sample of 285 employees was surveyed to achieve a 95% confidence level with a 5% margin of error. Data were collected using a structured questionnaire with multi-item scales adapted from prior studies. Structural equation modeling (SEM) was employed to test the conceptual framework and hypothesized relationships, utilizing the two-step SEM approach with AMOS software. The results reveal significant positive relationships among MIS, BI, and SP. Specifically, MIS exhibits a statistically significant positive effect on SP, supporting previous research indicating MIS provides comprehensive data for informed planning. Furthermore, MIS significantly influences BI capabilities, underscoring the importance of robust MIS infrastructure for advanced BI analytics. BI, in turn, positively impacts SP, aligning with literature suggesting BI tools enhance planning agility and effectiveness through data-driven insights. Bootstrapping analysis demonstrates that BI partially mediates the relationship between MIS and SP. While BI acted as a significant mediating variable, MIS had a significant direct impact on SP, implying that though MIS has a direct impact on SP, it has an indirect impact, through BI, as well. Further analysis revealed that the constructs are interconnected, and that the mediation of BI is a necessary part of the process in Jordanian Public Listed Companies. As such, acknowledging the relevance of MIS, BI, and SP and the mediating role of BI, organizations can adapt their decision-making to achieve sustained competitive advantage within the dynamic business environment in Jordan.

Technology has significantly transformed knowledge, education, and access to information by introducing online learning platforms, interactive games, and virtual reality simulations in traditional classrooms, creating a dynamic, engaging, and inclusive learning environment. The ChatGBT project (a pre-developed transformer for training) is a remarkable achievement in artificial intelligence technology. It allows students tailored and efficient learning experiences by providing individual feedback and explanations. ChatGPT e-learning platform has been extensively studied for its adoption and acceptance, but there is a significant gap in research on its acceptability and use, highlighting the need for further exploration. The goal of this work is to bridge this disparity by introducing a comprehensive model that includes three basic elements: performance expectation, expected effort, and social impact. A total of 241 graduate students were surveyed and their data were analyzed using structural equation modeling techniques. The results indicate that “expectation of performance and expected effort” have the greatest impact and importance in determining students’ intentions to use learning platforms via ChatGPT, while social influence does not play an important role. This study enhances the current body of knowledge related to artificial intelligence and environmental sustainability, and provides important insights for professionals, policymakers, and producers of artificial intelligence products. These observations may provide guidance for creating and implementing artificial intelligence technologies to match consumers’ needs and preferences more effectively, while also taking into account broader environmental conditions.

The purpose of this research was to analyze the increased performance improvement in the supply chain related to the energy and utilities sector of Jordan through cloud computing, also mediated by knowledge sharing. 150 respondents were analyzed. Research suggests that there was a strong positive relationship between cloud computing and supply chain performance. In addition, cloud computing had a strong and positive correlation with the practice of knowledge sharing. The result indicates that companies with a culture of knowledge sharing among employees were more likely to incorporate the use of cloud computing. The study also indicates that cloud computing adoption had enhanced supply chain performance in the utility and energy sector within Jordan. Therefore, the study also finds that there was a strong and positive relationship between knowledge sharing and well overall performance of supply chain activities. This points to the role that knowledge-sharing practices play in improving the performance of the supply chain within Jordanian utilities and energy sectors. Furthermore, the findings of the mediation study provide strong evidence in support of our hypothesis that knowledge sharing plays a major role as a mediator relating to the relationship between cloud computing adoption and supply chain performance. The observed mediation effect suggests that the positive impact of cloud computing implementation on supply chain performance can be attributed to some extent to its facilitating knowledge exchange practices. However, this research improves the understanding of relationships among cloud computing adoption implementations and information structure flow as well as supply chain performance within Utilities These results emphasize the importance of cloud technologies as information drivers that would lead to enhanced performance in terms of supply chain operations. These are insights that can be used by organizations and businesses aiming at improving their competitiveness and efficiency levels in these sectors.

The present study examines the effect of variables on contemporary management accounting practices' adoption in the public sector. The present research further investigates the relationship between the uptake of contemporary management accounting practices and organizational performance and change. 520 surveys were mailed to the public sector in Jordan to gather data, which was subsequently analyzed employing SEM. The findings of the research indicate that there are substantial relationships between accounting staff qualifications and management accounting practices. Results indicate that modern management accounting practices could help public sector practitioners enhance performance and promote organizational change. The investigation offers concrete insight into the public sector's uptake of management accounting practices. The research conducted offers a field study of the impact of implementing a suite of management accounting practices in the public sector.

The accelerated progress of Artificial Intelligence (AI) within the accounting field has resulted in a heightened use of this technology in international enterprises, therefore generating noteworthy ethical concerns. This research investigates the ethical implications that arise from the use of AI in accounting practices, focusing on international corporations operating in Jordan. The objective of this research is to provide a comprehensive framework for the ethical and responsible integration of AI within the accounting domain. The research used a survey methods approach while 379 respondents were selected using cluster and proportional sampling. The qualitative component of the research investigates the viewpoints and concerns of persons pertaining to the use of AI. The study results provide significant contributions to the development of a context-specific paradigm for AI ethics that prioritizes concepts such as transparency, fairness, and accountability. The findings of this study have substantial value for multinational corporations engaged in commercial operations in Jordan and similar regions. The results provide organizations with the necessary tools to proficiently address the ethical dilemmas that emerge as a result of using artificial intelligence in accounting procedures.

This study investigates the impact of sustainability initiatives, choice of content, and engagement with environmental content on environmental awareness. Employing a sample of 435 respondents and utilizing Partial Least Squares (PLS) analysis, the research provides valuable insights into the role of digital marketing strategies in fostering environmental consciousness. The findings of this study highlight the substantial influence that digital marketing techniques can have on shaping individuals' awareness and attitudes towards environmental concerns. The confirmed hypotheses underscore the effectiveness of these strategies in promoting environmental awareness among diverse audiences. As the digital landscape continues to evolve, the research contributes to the growing synergy between digital marketing and environmental advocacy, encouraging further exploration and practical applications for a more sustainable future.

Disability constitutes a significant health problem in the Kingdom of Saudi Arabia (KSA). Research assessing the health needs of people with disabilities in KSA is scarce. This study aimed to assess what physical and hearing disable persons need from healthcare services and to investigate difficulties in accessing these services in the Jazan area. A cross-sectional survey was conducted among hearing and physical disable persons between July, 2018, and May, 2019 in Jazan region, KSA using a modified Arabic-translated version of the validated Southampton Needs Assessment Questionnaire (SNAQ). Two hundred and eighty-nine hearing and physical disable persons completed the questionnaire with a response rate of 63%. Around half of the participants encountered difficulty in accessing appropriate healthcare services. More than half had difficulty obtaining mental healthcare, dental care, preventive periodic screening care, or medical care at home. Although 37.6% of the participants had previously received regular chronic disease care for diabetes, hypertension, or asthma, 52% reported difficulty obtaining medicine for such diseases, and 46.5% reported difficulty getting seasonal vaccinations such as the influenza vaccine. Finding specialized doctors or dentists using specialized means of communication was a struggle for over 50% of the participants. There is a need to optimize society for people with physical disabilities and improve access to healthcare facilities.

Using the years 1970–2022, this research looks at the macroeconomic variables that have an impact on Jordan's renewable energy production. To assess the main factors impacting Jordan's renewable energy scenario, the study employed the Dynamic Autoregressive Distributed Lag (DARDL) tool. Several important aspects affecting renewable energy production are highlighted in the study. A multitude of factors that statistically and positively impact the attainment of renewable energy are diverse economic activities as measured by the GDP. The contribution of a fair economy in speeding up and maintaining promotion of renewable energy projects in Jordan is noticeable. Moreover, FDI is one of the factors in fostering renewable energy production and its role is very significant and positive, thus, it is affecting renewable energy production in a great extent. In a nutshell, overseas funding should be meant to yield a great harvest in planting and constructing Jordanian renewable energy plants and equipments. The study also indicates that finance is not just fundamental for renewable energy movement but for the evolution of the renewable energy industry as well. While the tried and true fact of the positively and statistically significant case of link between renewable energy production and financial development underline the vital role of a financially prosperous area in redirecting investments from traditional resources to renewable energy and therefore contribute to its further expansion. However, that idea needed some modification due to the disagreement that the CO2 emissions also have significant role in reducing renewable energy production. The study has identified that there is a negative correlation between the carbon emissions and renewable energy production if it is computed statistically. The implementation of more effective policies and initiatives that will result in reduced carbon emissions becomes possible with all sectors working together to form a better environment for the establishment of renewable energy infrastructures.

Background Overweight and obesity are excessive fat accumulations linked with many health problems, including heart diseases, type 2 diabetes and cancer. Multiple studies have demonstrated that beliefs about overweight, obesity and self-efficacy play essential roles in the success of interventions for obesity management.Objectives This study aimed to identify the perceptions of university students of overweight and obesity using the health belief model (HBM) and to analyse their association with the body mass index (BMI) categories of the students.Design A cross-sectional questionnaire-based study and a multistage sampling technique were used to ensure the recruitment of students from selected colleges of Jazan University—Saudi Arabia.Setting Six colleges of Jazan University were randomly selected to ensure equal representation of health sciences, sciences and humanities colleges.Participants A total of 579 students completed an online survey between January and April 2023.Primary and secondary outcome measures The primary outcome measures were demographic characteristics and HBM constructs. Secondary outcome measures were behavioural intentions relating to obesity management.Results This study demonstrated that gender and self-reported family history of obesity were significantly correlated with the BMI categories of the students (p

Background: Accumulating evidence indicates that the incidence of cancer is increasing in the United Arab Emirates (UAE). This analysis aimed to determine the current cancer research output in the UAE to guide future national research. Methods: The Scopus database was searched for cancer-related bibliographic data from the UAE. The number of publications, citation analysis, co-authorship of the author, institution, and country, keyword co-occurrence, and reference co-citations were analyzed using the R-studio bibliometrics package and VOSviewer software. Results: A total of 1678 journal articles were retrieved from 1981 to 2022. Cancer research in the UAE (UCR) is increasing at a rate of 14.64% (R-squared = 0.75; F = 46.477; P

Background: Congenital heart defects (CHDs) are the leading cause of death and morbidity in children under one year around the world. This study explores the prevalence, patterns, and interventions of congenital heart defects in children in the Jazan region, Saudi Arabia. Methods: This was a descriptive cross-sectional study, conducted in the Jazan region, Saudi Arabia. We looked back at all of the CHD patients who went to the two tertiary hospitals in the Jazan region between January 2017 and December 2021 and collected and analyzed their background information and diagnosis. Results: During the study period, 1,275 CHD patients aged under 15 years old were identified. A total of 717 (56.24%) were males, while 558 (43.76%) were females. Acyanotic CHDs were the most common, accounting for 79.21% of all cases, while cyanotic CHDs accounted for only 20.79%. Ventricular septal defect (VSD), atrial septal defect (ASD), and patent ductus arteriosus (PDA) were the most common acyanotic CHDs, accounting for 35.69%, 24.31%, and 8% of total cases, respectively. The most common cyanotic CHDs were Tetralogy of Fallot (7.14%) and Total Anomalies of Pulmonary Venous Connection (TAPVC) (1.57%). The most common Cath intervention was patent ductus arteriosus (PDA). Conclusions: This study’s results are similar to those described in previous studies from around the world, except for the unreported Transposition of the Great Arteries (TGA) cases. This kind of information is very important for setting priorities in the Saudi Arabian health sector in light of the National Transformation Program.

Some changes appeared in women’s menstrual cycle after receiving the coronavirus disease 2019 (COVID-19) vaccine, but the information about the pattern and characteristics of these symptoms was unclear. This study was conducted to estimate the prevalence of menstruation change and evaluate the association between COVID-19 vaccination and the occurrence of such disturbance. An online web-based survey was conducted during March–April 2022 that targeted 729 COVID-19 vaccinated women aged between 18 and 45 years in the Jazan region of Kingdom of Saudi Arabia. The tool collected demographic information, psychological data, and COVID-19 post-vaccination side effects. The overall prevalence of menstrual change among the women was 60.9% (95% CI 57.3–64.4). 66.3% and 64.1% of women, respectively, in the age group of 25–34 and 35–45 years were more affected. Most of the detected abnormalities were related to delayed menstruation and changes in pain intensity. Menstrual disturbances that occur after immunization are transient and have no long-term implications. Menstrual disorders are prevalent before vaccination, but there is a considerable increase following vaccination. Because there is no apparent cause for these post-vaccine disturbances, and their effects are difficult to anticipate, it is preferable to warn those concerned and encourage them to learn more about the biological changes causing these problems.

Background: COVID-19 (Coronavirus Disease 2019) vaccinations are a critical control measure for the coronavirus pandemic that began in 2019. Several COVID-19 vaccines have been developed, and their effectiveness will almost certainly vary. Objective: This study aimed to assess how effective two doses of the Pfizer and Oxford-AstraZeneca vaccines were in preventing SARS‐CoV‐2 infection six months after administration. Methods: This is a retrospective cohort study of adult individuals from the Jazan Region of Saudi Arabia who received their second dose of the COVID-19 vaccine [Pfizer and Oxford-AstraZeneca (ASZ)] between April and June 2021. The monitoring and follow-up period continued until the end of January 2022. Data were retrieved from the Health Electronic Surveillance Network and National Vaccination Records. Logistic regression was performed to assess the risk of COVID-19 infection among the vaccinated subjects. Results: This study included randomly enrolled 4458 participants in Jazan who received two doses of the COVID-19 vaccine during the research period. The majority of them received the Pfizer vaccine (3136/4458; 70.3%), while the remaining received the ASZ vaccine (1322/4458; 29.7%). The study participants’ mean age was 59.7 years, with a male-to-female ratio of 1.9:1.0 (2920:1538). The results showed that the Pfizer and ASZ vaccines’ protection against infection decreased from 93.2% and 90.2%, respectively, during the first three months, to 68.5% and 68.1% after a six-month interval. In the current study population, being Saudi Arabian, younger as well as having longer intervals between vaccines or crossing a 6-month period after the second vaccine dose were factors linked to higher rates of breakthrough infections. Conclusion: Our findings revealed variations in the efficacy of different COVID-19 vaccine types against COVID-19 breakthrough infections. The Pfizer (mRNA-based) vaccine was found to be relatively more effective than the ASZ (DNA-based) vaccine.

The authentication of wireless devices through physical layer attributes has attracted a fair amount of attention recently. Recent work in this area has examined various features extracted from the wireless signal to either identify a uniqueness in the channel between the transmitter–receiver pair or more robustly identify certain transmitter behaviors unique to certain devices originating from imperfect hardware manufacturing processes. In particular, the carrier frequency offset (CFO), induced due to the local oscillator mismatch between the transmitter and receiver pair, has exhibited good detection capabilities in stationary and low-mobility transmission scenarios. It is still unclear, however, how the CFO detection capability would hold up in more dynamic time-varying channels where there is a higher mobility. This paper experimentally demonstrates the identification accuracy of CFO for wireless devices in time-varying channels. To this end, a software-defined radio (SDR) testbed is deployed to collect CFO values in real environments, where real transmission and reception are conducted in a vehicular setup. The collected CFO values are used to train machine-learning (ML) classifiers to be used for device identification. While CFO exhibits good detection performance (97% accuracy) for low-mobility scenarios, it is found that higher mobility (35 miles/h) degrades (72% accuracy) the effectiveness of CFO in distinguishing between legitimate and non-legitimate transmitters. This is due to the impact of the time-varying channel on the quality of the exchanged pilot signals used for CFO detection at the receivers.