13 research outputs found
Diagnostic Accuracy of Body Mass Index (BMI) to Identify Obesity in Saudi Adult Population in a Community Based Setting
No full textStudies on Burnout among Doctors in Saudi Arabia: A Scoping Review
No full textPhysician burnout, a global issue, negatively impacts healthcare systems, patient outcomes, and clinical judgment. It is particularly prevalent in high-stress specialties like emergency medicine. In Saudi Arabia, the rapid healthcare system expansion and unique cultural factors contribute to burnout. This scoping review aims to synthesize existing literature on physician burnout in Saudi Arabia, aiming to inform policy and administrative decision-making
Understanding suicide and its prevention in the Indian context: Mental Health Perspective
No full textIn India, suicide research has largely concentrated on the prevalence, method, psychological, and demographic risk factors. Suicide processes, paradigms, prevention strategies, and other features of suicide that are common in the West may not be applicable in India. It is vital to study potential underlying processes, various suicide prevention methods, and suicide prevention in general, as well as what more work has to be done in the Indian context. Suicide, on the other hand, is a cross-sectoral public health issue that demands collaboration across all key sectors, and its prevention should engage all stakeholders in India
TRANSACTION FRAUD DETECTOR USING KNN IN DEEP LEARNING
No full textAbstract: Online credit and debit card purchases have increased bank fraud. Using deep learning, researchers analysed cutting-edge fraud-detection algorithms. Most online KNN implementations work with sequential data like time series, audio/speech, and language. KNNs process and store locally, unlike forwarding networks. Time series analysis often uses KNNs. Check the numbers for suspicious purchases. Malaysian customers made 278,309 credit card transactions in October 2022, according to creditcard.csv. According to creditcard.csv, Malaysians used 278,309 credit cards in October 2022. K-nearest neighbour simplifies data categorization. Choose k for accurate scenario classification. k could be any positive integer between 1 and the set's size. When k = 1, a new log with the same category is generated. When k is small relative to the training dataset's features, noise is introduced. A large value of k complicates the calculations so much that a specimen is incorrectly classified into the most frequent category during data training. k-adaptability, KNN's usefulness, and versatility give it many advantages.
Keywords: KNN algorithm, Machine Learning, Bank fraud, Credit/Debit cards.
Title: TRANSACTION FRAUD DETECTOR USING KNN IN DEEP LEARNING
Author: Ahmad Alammar, Yazeed Al Moayed, Nasir Ahmed Algeelani
International Journal of Novel Research in Computer Science and Software Engineering
ISSN 2394-7314
Vol. 9, Issue 3, September 2022 - December 2022
Page No: 16-23
Novelty Journals
Website: www.noveltyjournals.com
Published Date: 26-November-2022
DOI: https://doi.org/10.5281/zenodo.7365019
Paper Download Link (Source)
https://www.noveltyjournals.com/upload/paper/TRANSACTION%20FRAUD%20DETECTOR-26112022-3.pdfInternational Journal of Novel Research in Computer Science and Software Engineering, ISSN 2394-7314, Novelty Journals, Website: www.noveltyjournals.co
Stark contrast in prevalence and correlates of mental disorder in the Arabic and Indian populations.
No full textThe Indian and Saudi Arabian (a prototypical Arab nation) national mental health surveys were compared. In comparison to Saudi Arabia, India had a 2.5-fold lower lifetime prevalence of mental illnesses, a 3.8-fold lower current prevalence, and a 7-fold lower prevalence of serious mental disorders. All mental disorders, except drug use disorder, were less common in India. Being over 40 years old and having a better education level had a greater rate of mental illness in India; conversely, being a woman increases the risk of mental illness in Saudi Arabia, particularly anxiety and eating disorders. Besides substance abuse disorders, the treatment gap for mental illnesses is larger in Saudi Arabia. Overall, the comparison suggests a contrasting difference in the prevalence of psychiatric disorders, and their demographic correlation varies between the Indian and Saudi Arabian populations. There is a need to understand as to why such discrepancies exist
The Arab Intellectual as a Woman: The Writings of Ghada Samman
No full textGhada Samman (b. 1942) is a prominent literary figure with an established legacy across the Arabic-speaking world. Through her widely-acclaimed writings, the Syrian author, journalist, and critic occupies a unique position in Arab intellectual circles as a woman who combines a commitment to the peoples’ causes with an innovative literary style vividly capturing the estrangement faced by the modern Arab subject. Samman has spent her life in exile, first in Beirut and eventually settling in Paris when the Lebanese Civil War (1975-1990) escalated. She has published 10 poetry books, 6 short story collections, 5 novels, and 20 collections of essays. However, despite her influential writings, Samman is relatively unknown outside of the Arabic-speaking world and a negligible portion of her corpus has been translated into English. My presentation posits the reason for this exclusion being that the Anglophone world does not know where to place Samman as she refuses the mould of “women’s writing” to which the Western academy is accustomed. Hers is the broad, interdisciplinary concern of the intellectual, writing on themes of exile, diatribes against capitalism and classism, the liberation of sexuality from prescribed norms, as well as how patriarchal hegemonies victimise both men and women. Even in the Arabic-speaking world she has pushed back against reductive labelling of her work, writing in a 1987 article: ‘My allegiance is to my freedom and my faith in a woman’s ability to write great human literature. There’s no need to call it “feminist” when its defence of women is part and parcel of its defence of all who are oppressed in Arab societies.’ My presentation will explore the life and work of Ghada Samman from the position of an Arab intellectual rather than a limited (and expected) reading of her as a woman writer exclusively concerned with “women’s issues”
Relationships of academic expectation stress & self-efficacy, efficacy for self-regulated learning with academic performance during Covid pandemic
No full textBackground: Academic expectation stress & self-efficacy and efficacy for self-regulated learning may affect academic performance. The Covid pandemic has affected the physical and psychological well-being of all, including students. However, there is a paucity of studies examining these variables in college students in Saudi Arabia. Objectives: This study was conducted to explore the levels and relationships of academic expectation stress & self-efficacy, self-regulated learning, and its relationships with academic performance in college students of ---- University during the Covid pandemic. Material and Methods: A total of 302 students were recruited in this cross-sectional study. They were assessed with sociodemographic and academic proforma designed for this study, the Academic expectation stress inventory (ASE), the Academic self-efficacy scale (AES), and the efficacy of the self-regulated learning scale (SRL). Results: Results revealed that the mean score of AES, SRL, and ASE was 29.18, 35.38, and 41.11, respectively. On linear regression analysis exam score was statistically significant positively predicted by the score on SRL, and the Score of AES was statistically significantly predicted by the score of SRL (+ve) and the score of ASE (-ve). Conclusions: It may be concluded that efficacy for self-regulated learning may mediate academic performance and academic self-efficacy during the Covid pandemic. Enhancing self-regulated learning may improve academic performance during the pandemic
Narratives and outcomes of the uprisings in Syria and Bahrain
No full textThe narratives deployed by the political elites and the opposition groups in Syria and Bahrain has undergone a process of evolution since the onset of the Arab Spring. The examination of the cases of Syria and Bahrain is useful from a methodological perspective, since it enables us to determining the nuances that come about from the manner in which the Arab Spring unfolded in the region. This dissertation attempts to unite a diverse range of elements to present a comprehensive analysis of the nature of revolutionary consciousness, the nature of Arab transnational collective action movements in an era of globalization, and the mechanisms governing the evolutions of protest rhetoric. This dissertation draws attention to the particular ways in which language and rhetoric are used on both sides of the struggle and the ways in which rhetoric changes in response to the expectation of an international audience.Ph.D.Includes bibliographical referencesby Hesham Abdulaziz A. Alamma
Author Correction: Genetic algorithm type 2 fuzzy logic controller of microgrid system with a fractional-order technique
No full textImpact of Baseline Characteristics on Stroke Outcomes in Pakistan: A Longitudinal Study Using the Modified Rankin Scale
No full textIntroduction. Stroke is a leading cause of disability and mortality globally, with a significant impact on healthcare systems. Various factors, including age, gender, comorbidities, and the type of stroke, influence the burden of stroke and its outcomes.
The study was conducted with an objective to determine the impact of baseline characteristics on the long-term functional outcome of stroke patients.
Methods. This prospective observational study was conducted between April 6, 2022 - December 31, 2023, at a tertiary hospital. The study included patients with radiologically confirmed stroke, selected through convenience sampling. Stroke patients of any gender and all age groups, with any comorbidity, were included. The Modified Rankin Scale (mRS) assessed disability on admission and three months post-stroke.
Results. Of the 213 patients, 122 (57.3%) were males and the majority, 199 (93.4%) individuals, had acute ischemic stroke. The median age of the participants was 60 years (range: 13-97 years; IQR=18 years). The mRS score on admission was poor (5.0; IQR=1.0) for patients ≥ 60 years. In 74 (34.74%) participants, the left middle cerebral artery was a frequently involved site. Age of ≥ 60 years (mRS=4.0; IQR=4.0; p=0.001) and the presence of ≥ 3 comorbidities (mRS=5.0; IQR=1.0; p=0.001) were significantly associated with poor outcomes three months post-stroke. Ordinal logistic regression revealed that a mRS score of 4 (OR=14.20; 95% CI=1.70-145.25; p=0.02) and a mRS score of 5 (OR=78.84; 95% CI=9.35-820.25; p < 0.001) on admission were associated with poor outcomes. In addition, the presence of ≥ 3 comorbidities (OR=4.59; 95% CI=14.65; p < 0.01) and increasing age (OR=1.04; 95% CI=1.01-1.07; p=0.02) were predictors of poor outcomes three months post-stroke.
Conclusions. The study underscores the importance of early intervention and effective management of comorbidities to improve functional outcomes in stroke patients. It highlights the need for targeted stroke care and rehabilitation strategies
