Based on the concepts of pseudocomplement of L -subsets and the implication operator where L is a completely distributive lattice with order-reversing involution, the definition of countable RL -fuzzy compactness degree and the Lindelöf property degree of an L -subset in RL -fuzzy topology are introduced and characterized. Since L -fuzzy topology in the sense of Kubiak and Šostak is a special case of RL -fuzzy topology, the degrees of RL -fuzzy compactness and the Lindelöf property are generalizations of the (...) corresponding degrees in L -fuzzy topology. (shrink)

Diabetes is a major public health issue that affects the nations of our time to a large extent and is described as a non-communicable epidemic. Diabetes mellitus is a common disease where there is too much sugar (glucose) floating around in your blood. This occurs because either the pancreas can’t produce enough insulin or the cells in body have become resistant to insulin. The concentration in this paper is on diagnosis diabetes by designing a proposed expert system. The main goal (...) of this expert system is to get the appropriate diagnosing of the illness, dealing with it quickly, and tips for permanent treatment whenever possible is given out. SL5 object expert system language was used for designing and implementing the proposed expert system. (shrink)

Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and benefit human health. They are an important staple food in many countries around the world. There are an estimated 200 varieties of (...) potatoes, which can be classified into a number of categories based on the cooked texture and ingredient functionality. Using a public dataset of 2400 images of potatoes, we trained a deep convolutional neural network to identify 4 types (Red, Red Washed, Sweet, and White).The trained model achieved an accuracy of 99.5% of test set, demonstrating the feasibility of this approach. (shrink)

Background Moral courage is the ability to defend and practice ethical and moral action when faced with a challenge, even if it means rejecting pressure to act otherwise. However, moral courage remains an unexplored concept among middle eastern nurses. Aim This study investigated the mediating role of moral courage in the relationship between burnout, professional competence, and compassion fatigue among Saudi Arabian nurses. Research design Correlational, cross-sectional design following the STROBE guidelines. Participants and research context Convenience sampling was used to (...) recruit nurses ( n = 684) for four government hospitals in Saudi Arabia. Four validated self-report questionnaires (Nurses’ Moral Courage Scale, Nurse Professional Competence Scale-Short Form, Maslach Burnout Inventory, and Nurses Compassion Fatigue Inventory) were used to collect data between May to September 2022. Spearman rho and structural equation modeling analyses were employed to analyze the data. Ethical considerations The ethics review committee of a government university in Ha’il region, Saudi Arabia, approval this study (Protocol no.: H-2021-012; Approved: 08/022,021). Participants were fully explained the study aims, and consent was voluntarily secured. Results The emerging model showed that burnout had a direct and positive influence on compassion fatigue, while professional competence had a direct, negative effect on compassion fatigue. Moral courage had a small and direct but negative influence on compassion fatigue. Mediation analyses also indicated that moral courage significantly mediated the indirect effects of burnout and professional competence on compassion fatigue. Conclusion Moral courage can be a crucial aspect in preserving the psychological and mental health of nurses, particularly under stressful conditions. Therefore, it is advantageous from an organizational and leadership standpoint to implement measures such as programs and interventions to foster moral courage among nurses. (shrink)

A system of system’s ability to function is derived from the integration of systems from different sources. An SOS’s systems serve two purposes: first, to accomplish their own specific aims, and second, to provide resources to the SOS as a whole. In the last few decades, machine learning and data analytics have been widely used in system design and acquisitions. Every organisation that acquires a sophisticated system employs some type of data analytics to evaluate the system’s independent objectives, which is (...) universally accepted. Data analytics and decision-making regarding the independent system is rarely shared across SOS stakeholders, even though the systems contribute to and benefit from the larger SOS. The goal of this research is to determine how the exchange of data sets and the corresponding analytics by SOS stakeholders can improve SOS capacity. Predicting SOS capabilities by exchanging relevant data sets and prescribing information connections between systems, we propose to use machine learning techniques. This article serves as an intermediate analysis of the above research work and aims to estimate the benefit of information sharing among the SOS stakeholders. In this research, we have applied different machine learning models to the IBM HR analytics data set to determine the corresponding analytics by SOS stakeholders that can improve SOS capacity. We propose using machine learning techniques to forecast SOS capabilities through the sharing of relevant data sets, and we prescribe the information linkages across systems to make this possible. This paper provides an update on the progress being made toward the aforementioned research project, and its primary focus is on developing a method to put a dollar amount on the benefits of information sharing among the many parties involved in the SOS. (shrink)

The research discusses the personality of King Abdulaziz through the book “Biography without History, by its author Fouad Shaker”. A critical study of the author's work is included, along with an examination of King Abdulaziz's character, including his power and leadership, his intelligence and fairness, his compassion and tact, his success to develop the country, and his interactions with his family.

The present study focuses on Using the Technology Acceptance Model (TAM) to study the relationship between teachers’ behavioral intention to use a data projector and some other variables and highlighting the extent to which the TAM is applicable. A random sample consisting of 6480 teachers was randomly selected for the study. For data collection, the author used a questionnaire, which was derived from relevant literature. The employment of Data Show Projectors in teaching Mathematics is influenced by a variety of factors, (...) which chiefly include what is known as computer anxiety (abbreviated as CA). The study shows that CA has a negative effect on PE. Moreover, results of the study also show that there is a positive correlation between actual use (abbreviated as AU) and intention to use (abbreviated as IU). However, results show that perceived usefulness (abbreviated as PU) is not significantly correlated with IU. This means that teachers are more interested in how easy the use of projectors is to them, as opposed to the extent to which it is useful in their work. The study proposes an expansion of the TAM model that takes into consideration the contexts of AU, IU, PU, PE, and CA. Findings show that the proposed TAM model expansion shows positive correlations with AU, IU, PU, PE, and CA. The expanded model shows success in achieving the research objectives. The present study is a contribution to the research efforts for supporting the adoption of projectors in mathematics classes. (shrink)

Urban Studies is an interdisciplinary and rapidly evolving field. The aim of this study is to assess the development of Urban Studies as an academic field from 2011 to 2019, by focusing on number of journals and articles, their openness, and their respective bibliometric indicators. A Scopus-based journal-level analysis and a Web of Science-based article-level analysis were performed. Publications from 2011 to 2019 were filtered for ‘Urban Studies’. In 2019, there were 193 Urban Studies journals compared to 83 journals in (...) 2011. The percentage of open access publications increased from 25.6% in 2011 to 45% in 2019. The number of yearly publications was 13,007 in 2011 and expanded to 36,805 in 2019. The number of open access journals significantly increased from 18 (22%) in 2011 to 69 (35.9%) in 2019 (p = 0.005). Institution-based and small publishers are leading the way toward open access journals; the number of open access journals are significantly greater than the number put out by mainstream large publishers. Urban studies is a rapidly evolving interdisciplinary field with different related fields contributing to its development. (shrink)

Background: Compassion fatigue, moral distress, and moral injury are interconnected phenomena that have a detrimental impact on the delivery of nursing care. Nurses possess the inherent resilience necessary to effectively handle these three adverse occurrences. Aim: To determine the mediating impact of resilience on compassion fatigue, moral distress, and moral injury among nurses in Saudi Arabia. Design: The final product was a structural equation model (SEM) generated using a quantitative correlation cross-sectional design, and we followed the STROBE guidelines for this (...) study. Methods: The study involved a sample of 511 staff nurses, who were selected using consecutive sampling. The study was conducted in three government hospitals in Saudi Arabia. Ethical considerations: This study received approval from Ethics Committee under approval number H-2021-151 on March 5, 2021. The survey’s description and consent statements were clearly presented on Google survey forms in both English and Arabic. Results: Results showed that resilience negatively influenced moral distress, while compassion fatigue and moral injury had a positive influence. Likewise, compassion fatigue had a direct, positive effect on moral distress and moral injury, and moral distress had a direct, positive effect on moral injury. Analyses also showed that resilience had positive, indirect effects on moral injury through the mediation of both compassion fatigue and moral distress. Similarly, compassion fatigue had a positive, indirect effect on moral injury through the mediation of moral distress. Conclusion: Because resilience enables nurses to adapt, it helps them overcome obstacles in their career and professional lives. Resilience is frequently cited by nurses as a protective quality. Moral injury, compassion fatigue, and moral distress can negatively impact the health of nurses. Implications for the profession and/or patient care: Nurse leaders should develop programs and initiate efforts to improve nurses’ resilience as an important protective trait against compassion fatigue, moral distress, and moral injury. Patient or Public Contribution: There was no public or patient participation in this study. (shrink)

Ethics is based on moral principles that should be the foundation for every healthcare decision, however, ethical concepts can often be challenging to define in specific clinical scenarios. There are several instances where a practising clinician often finds it difficult to make a proper decision despite maintaining integrity and professionalism. The objective of the present study was to explore the ethical dilemma faced by orthodontists practicing in Saudi Arabia concerning orthodontic treatment. This was a questionnaire-based cross-sectional study that was adapted (...) from the scenarios of ethical dilemmas presented by Jerrold in 1998. Ten orthodontists from each province of Saudi Arabia were requested to participate in this study and the questionnaire were sent through email and their responses were analysed. A total of 37 responses were obtained (out of 130) with a response rate of 28.46%. Among them 23 were female and 14 were male. Most participants belonged to the age group 30–39 years and most of them have clinical experience of more than 5 years. There was a wide variation in the responses among the participants in all the scenarios presented. The median likelihood of getting similar scenarios in their clinical practice in Saudi Arabia ranged from 3 to 3.5. There was a wide variation in the opinion among the practising orthodontists in Saudi Arabia in the scenarios presented. The presented scenarios are less likely to be perceived in the local context and some new situations of ethical dilemmas are identified. (shrink)

The liver is the human body’s mandatory organ, but detecting liver disease at an early stage is very difficult due to the hiddenness of symptoms. Liver diseases may cause loss of energy or weakness when some irregularities in the working of the liver get visible. Cancer is one of the most common diseases of the liver and also the most fatal of all. Uncontrolled growth of harmful cells is developed inside the liver. If diagnosed late, it may cause death. Treatment (...) of liver diseases at an early stage is, therefore, an important issue as is designing a model to diagnose early disease. Firstly, an appropriate feature should be identified which plays a more significant part in the detection of liver cancer at an early stage. Therefore, it is essential to extract some essential features from thousands of unwanted features. So, these features will be mined using data mining and soft computing techniques. These techniques give optimized results that will be helpful in disease diagnosis at an early stage. In these techniques, we use feature selection methods to reduce the dataset’s feature, which include Filter, Wrapper, and Embedded methods. Different Regression algorithms are then applied to these methods individually to evaluate the result. Regression algorithms include Linear Regression, Ridge Regression, LASSO Regression, Support Vector Regression, Decision Tree Regression, Multilayer Perceptron Regression, and Random Forest Regression. Based on the accuracy and error rates generated by these Regression algorithms, we have evaluated our results. The result shows that Random Forest Regression with the Wrapper Method from all the deployed Regression techniques is the best and gives the highest R2-Score of 0.8923 and lowest MSE of 0.0618. (shrink)

Background: Context: Digital health interventions have become essential instruments in contemporary medicine, providing viable means of improving patient outcomes and healthcare provision. The goal of this study is to examine the impact, difficulties, and potential future directions of digital health interventions across a range of healthcare situations by synthesizing results from 12 carefully chosen studies. Aim: This study's objective is to thoroughly examine and summarize the body of research on digital health interventions, with an emphasis on acceptance and utilization as (...) well as implementation and efficacy. Method: Twelve pertinent papers published between 2016 and 2024 were found after a thorough search of electronic databases. Numerous digital health interventions were covered by these research, such as remote monitoring systems, telemedicine, and mobile applications. In order to find common themes, sub-themes, and patterns among the chosen research, thematic analysis was used in the data synthesis process. Results: A number of important themes emerged from the thematic analysis, including interoperability problems, patient engagement, healthcare provider acceptability, regulatory concerns, and usability issues. The sub-themes that fell under these categories emphasized the variables that affect the uptake and efficacy of digital health interventions. Conclusion: The synthesis of data emphasizes how digital health initiatives can increase clinical results, improve patient care, and streamline the delivery of healthcare. But in order to fully reap the benefits, major obstacles like interoperability problems, regulatory difficulties, and usability impediments need to be solved. The recommendations put forth aim to promote innovation and evidence-based practice in digital health by stressing user-centered design, improving digital literacy among medical practitioners, and encouraging interdisciplinary collaboration. (shrink)

BackgroundPsychological distress/morbidity is amongst the primary reason for the cause of pain at multiple sites, its progression, and recovery. Though still not very clear if physical pain in the neck or the back may predict psychological morbidities or not. Thus, we investigated the association between combined neck or back pain and psychological distress/morbidity.MethodsA cross-sectional study was conducted in Al-Kharj, Saudi Arabia, including 1,003 individuals. The questionnaire comprised of General Health Questionnaire-12 and some questions about neck and back pain. Data analysis (...) was done using statistical software SPSS version 26.0.ResultsThe results of the multivariate analysis revealed a significant positive association between neck/back pain status and total GHQ score. Having neck/back pain had almost a 2.5 times greater risk of psychological distress/morbidity. Further, females were more likely to have a higher risk of psychological distress/morbidity than males while adjusting for sociodemographic and clinical characteristics.ConclusionThe combination of neck and back pain was significantly associated with the Saudi population’s psychological problems. Therefore, the Saudi government needs to devise high-risk strategies and allocate adequate resources to the cause so that at-risk people can be shielded from the adverse complications arising from this condition in the long run. (shrink)

Background: Nurse-patient communication is a unique clinical skill in the healthcare professions that promotes good quality care and patient outcomes. This communication can be disrupted by many barriers that impact the therapeutic relationship and deliver of care. Purpose: The study aims to identify the barriers affecting nurse-patient communication at primary health centers in Almadina Munawara City, Saudi Arabia. Methods: A cross-sectional study was performed among 212 nurses and 214 patients utilizing a self-reporting questionnaire. A version of the same file was (...) then uploaded into NVivo, and data that were coded under all communication barriers including language discordance among patients and healthcare providers (e. g., subtheme: patient prefers a mother tongue speaking doctor), cultural-religious difference and environmental cues between the involved parties to determine their importance in this context as well (see Table 2). Results: The results showed that language, cultural and environmental differences had an extensive influence on how nurses communicated with patients. Key barriers included nurse shortages, limited communication time and low income. Our results suggest that these barriers differ in their effect with language barrier and habitat disturbance being the most important ones. Conclusions: This study concludes that nurse-patient communication is a complex multi-sectional process, constrained by numerous barriers. Strategic intervention aimed at addressing these barriers can strengthen nurse-patient interaction and accelerate patient care. Communication remains a cornerstone in all the best practices of delivering healthcare effectively and keeping patients happy. (shrink)

Background Triage in the emergency department (ED) is a crucial procedure that establishes the urgency of patient care based on symptoms at presentation. Although the efficacy of triage nurse training programs varies, their goal is to increase the precision and efficiency of their decision-making. Aim With a focus on research done between 2019 and 2024, the systematic review attempts to evaluate the effect of training programs on the accuracy and efficiency of triage nurses in emergency departments. Method We conducted a (...) thorough search of the PubMed, EMBASE, and Web of Science databases to find pertinent research. Studies assessing training treatments for triage nurses and reporting accuracy and efficiency-related results were included in the inclusion criteria. Both the quality assessment and data extraction were carried out separately by two reviewers. Result Ten studies that used a range of triage training techniques and covered a variety of geographic areas satisfied the inclusion criteria. Research findings consistently showed that, despite variations in study designs and outcome measures, training programs increased triage accuracy and efficiency. Interventions included clinical decision support system integration, training based on simulation, and conventional classroom-based instruction. Conclusion By increasing decision-making efficiency and accuracy in patient evaluation, training programs greatly improve the performance of triage nurses in emergency departments. To improve comparability and support evidence-based policies, future research must standardize training methodologies and outcome measurements. (shrink)