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  • Open Access

    ARTICLE

    Epidemiological and clinical characteristics of lung cancer in Saudi Arabia: a retrospective study in single oncology center

    YOUSEF KATIB1,*, NASSER MULLA2

    Oncology Research, Vol.32, No.11, pp. 1803-1809, 2024, DOI:10.32604/or.2024.052358 - 16 October 2024

    Abstract Background: Lung cancer (LC) is one of the most common neoplastic diseases and a leading cause of death in Saudi Arabia. Its incidence in Saudi Arabia has increased by more than 3% within two decades. Our study aimed to describe the epidemiological and genetic landscapes of LC in Al-Madinah city in Saudi Arabia. Methods: A retrospective analysis was conducted on the medical records of 65 patients diagnosed with lung cancer between 2015 and 2021 at a single medical oncology center in Al-Madinah city of Saudi Arabia. Results: The mean patients’ age was 59.2 years, with 50… More >

  • Open Access

    ARTICLE

    Exploring the Prevalence and Contributing Factors of Depression among Sickle Cell Anemia Patients in Saudi Arabia’s Jazan Region

    Abdullah A. Alharbi1, Ahmad Y. Alqassim1,*, Mohammed A. Muaddi1, Najat H. Aldubayyan1, Rana I. Abuhadi1, Futon A. Akoor1, Sarah J. Mobarki1, Imtenan A. Oberi1, Ghaidaa H. Alharbi1, Yara Ajeebi1, Adnan M. Alkhayat2, Hafiz Malhan3, Mohammed Bakkar4, Anwar M. Makeen1

    International Journal of Mental Health Promotion, Vol.26, No.5, pp. 351-359, 2024, DOI:10.32604/ijmhp.2024.047219 - 30 May 2024

    Abstract Sickle Cell Anemia (SCA) is a prevalent genetic condition in Saudi Arabia, particularly in the Jazan region. The study’s purpose was to assess the prevalence of de-pression among individuals with SCA in this area and to identify the factors associated with this condition. The study involved 391 adult participants, all patients in the hematology center of Prince Mohammed bin Nasser Hospital (PMNH). Data was collected through an anonymous interview questionnaire–the Arabic version of the Patient Health Questionnaire-9 (PHQ-9)–between March–May 2022. The questionnaire covered socio-demographic information and variables related to the participant’s SCA history, such as… More >

  • Open Access

    ARTICLE

    Enhancing Cybersecurity Competency in the Kingdom of Saudi Arabia: A Fuzzy Decision-Making Approach

    Wajdi Alhakami*

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 3211-3237, 2024, DOI:10.32604/cmc.2023.043935 - 15 May 2024

    Abstract The Kingdom of Saudi Arabia (KSA) has achieved significant milestones in cybersecurity. KSA has maintained solid regulatory mechanisms to prevent, trace, and punish offenders to protect the interests of both individual users and organizations from the online threats of data poaching and pilferage. The widespread usage of Information Technology (IT) and IT Enable Services (ITES) reinforces security measures. The constantly evolving cyber threats are a topic that is generating a lot of discussion. In this league, the present article enlists a broad perspective on how cybercrime is developing in KSA at present and also takes… More >

  • Open Access

    ARTICLE

    A Machine Learning-Based Distributed Denial of Service Detection Approach for Early Warning in Internet Exchange Points

    Salem Alhayani*, Diane R. Murphy

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 2235-2259, 2023, DOI:10.32604/cmc.2023.038003 - 30 August 2023

    Abstract The Internet service provider (ISP) is the heart of any country’s Internet infrastructure and plays an important role in connecting to the World Wide Web. Internet exchange point (IXP) allows the interconnection of two or more separate network infrastructures. All Internet traffic entering a country should pass through its IXP. Thus, it is an ideal location for performing malicious traffic analysis. Distributed denial of service (DDoS) attacks are becoming a more serious daily threat. Malicious actors in DDoS attacks control numerous infected machines known as botnets. Botnets are used to send numerous fake requests to… More >

  • Open Access

    ARTICLE

    Deep Learning Driven Arabic Text to Speech Synthesizer for Visually Challenged People

    Mrim M. Alnfiai1,2, Nabil Almalki1,3, Fahd N. Al-Wesabi4,*, Mesfer Alduhayyem5, Anwer Mustafa Hilal6, Manar Ahmed Hamza6

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 2639-2652, 2023, DOI:10.32604/iasc.2023.034069 - 15 March 2023

    Abstract Text-To-Speech (TTS) is a speech processing tool that is highly helpful for visually-challenged people. The TTS tool is applied to transform the texts into human-like sounds. However, it is highly challenging to accomplish the TTS outcomes for the non-diacritized text of the Arabic language since it has multiple unique features and rules. Some special characters like gemination and diacritic signs that correspondingly indicate consonant doubling and short vowels greatly impact the precise pronunciation of the Arabic language. But, such signs are not frequently used in the texts written in the Arabic language since its speakers… More >

  • Open Access

    ARTICLE

    A Framework for Securing Saudi Arabian Hospital Industry: Vision-2030 Perspective

    Hosam Alhakami1,*, Abdullah Baz2, Mohammad Al-shareef3, Rajeev Kumar4, Alka Agrawal5, Raees Ahmad Khan5

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 2773-2786, 2023, DOI:10.32604/iasc.2023.021560 - 15 March 2023

    Abstract Recent transformation of Saudi Arabian healthcare sector into a revenue producing one has signaled several advancements in healthcare in the country. Transforming healthcare management into Smart hospital systems is one of them. Secure hospital management systems which are breach-proof only can be termed as effective smart hospital systems. Given the perspective of Saudi Vision-2030, many practitioners are trying to achieve a cost-effective hospital management system by using smart ideas. In this row, the proposed framework posits the main objectives for creating smart hospital management systems that can only be acknowledged by managing the security of healthcare… More >

  • Open Access

    ARTICLE

    Predicted Functional Shifts Due to Type of Soil Microbiome and Watering of Two Wild Plants in Western Region of Saudi Arabia

    Lina Baz1, Aala A. Abulfaraj2, Manal A. Tashkandi3, Hanadi M. Baeissa3, Mohammed Y. Refai3, Aminah A. Barqawi4, Ashwag Shami5, Haneen W. Abuauf6, Ruba A. Ashy7, Rewaa S. Jalal7,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2249-2268, 2022, DOI:10.32604/phyton.2022.021922 - 30 May 2022

    Abstract The present study aimed to predict differential enrichment of pathways and compounds in the rhizosphere microbiomes of the two wild plants (Abutilon fruticosum and Nitrosalsola vermiculata) and to predict functional shifts in microbiomes due to water. Amplicon sequencing of 16S rRNA region V3–V4 was done and gene-based microbial compositions were enrolled in PICRUSt to predict enriched pathways and compounds. The results indicated that “ABC transporters” and “Quorum sensing” pathways are among the highest enriched pathways in rhizosphere microbiomes of the two wild plants compared with those of the bulk soil microbiomes. The highest enriched compounds in soil… More >

  • Open Access

    ARTICLE

    An Exploratory Investigation of Difficulties in Applying Functional Behavior Assessment and Implementing Behavioral Intervention Plans in ADHD Programs in Saudi Arabia

    Abdulrahman Abdullah Abaoud*

    International Journal of Mental Health Promotion, Vol.24, No.4, pp. 595-601, 2022, DOI:10.32604/ijmhp.2022.021286 - 27 May 2022

    Abstract Functional behavior assessment (FBA) and behavioral intervention plans (BIPs) can be effective for students with attention deficit hyperactivity disorder (ADHD); however, teachers may face difficulties when implementing FBA procedures and, in turn, BIPs because of lack of time, insufficient training, and multiplicity of beliefs. Thus, it is important to identify the difficulties teachers may face and the obstacles that can deter them from implementing intervention plans. This is a worthwhile endeavor because nearly all classrooms will have students with behavioral problems who will benefit from specifically designed educational interventions. This study aimed to identify the… More >

  • Open Access

    ARTICLE

    Breast Cancer Detection in Saudi Arabian Women Using Hybrid Machine Learning on Mammographic Images

    Yassir Edrees Almalki11, Ahmad Shaf2, Tariq Ali2, Muhammad Aamir2, Sharifa Khalid Alduraibi3, Shoayea Mohessen Almutiri4, Muhammad Irfan5, Mohammad Abd Alkhalik Basha6, Alaa Khalid Alduraibi3, Abdulrahman Manaa Alamri7, Muhammad Zeeshan Azam8, Khalaf Alshamrani9,*, Hassan A. Alshamrani9

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 4833-4851, 2022, DOI:10.32604/cmc.2022.027111 - 21 April 2022

    Abstract Breast cancer (BC) is the most common cause of women’s deaths worldwide. The mammography technique is the most important modality for the detection of BC. To detect abnormalities in mammographic images, the Breast Imaging Reporting and Data System (BI-RADs) is used as a baseline. The correct allocation of BI-RADs categories for mammographic images is always an interesting task, even for specialists. In this work, to detect and classify the mammogram images in BI-RADs, a novel hybrid model is presented using a convolutional neural network (CNN) with the integration of a support vector machine (SVM). The… More >

  • Open Access

    ARTICLE

    Perceived Stress and Coping Styles among the General Population in Saudi Arabia during COVID-19 Pandemic

    Waleed A. Alghamdi1,2, Sami H. Alzahrani3, Saeed S. Shaaban1,*, Naseem A. Alhujaili2

    International Journal of Mental Health Promotion, Vol.24, No.3, pp. 361-373, 2022, DOI:10.32604/ijmhp.2022.017685 - 17 March 2022

    Abstract This article examines the stress levels, coping responses, and influence of adaptive and maladaptive coping styles on stress in Saudi Arabia during the COVID-19 pandemic. An online cross-sectional survey was distributed to the attendees of a pandemic-related awareness webinars. The questionnaire assessed demographic and clinical characteristics, coping strategies (the brief COPE inventory), and stress levels (the Perceived Stress Scale). A multivariate linear regression analysis was conducted to assess the predictors of stress. The highest adaptive and maladaptive coping styles were reported for religion and self-distraction. Certain groups were independently more vulnerable to experience stress, including… More >

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