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  • Open Access

    ARTICLE

    Joint Rain Streaks & Haze Removal Network for Object Detection

    Ragini Thatikonda1, Prakash Kodali1,*, Ramalingaswamy Cheruku2, Eswaramoorthy K.V3

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4683-4702, 2024, DOI:10.32604/cmc.2024.051844 - 20 June 2024

    Abstract In the realm of low-level vision tasks, such as image deraining and dehazing, restoring images distorted by adverse weather conditions remains a significant challenge. The emergence of abundant computational resources has driven the dominance of deep Convolutional Neural Networks (CNNs), supplanting traditional methods reliant on prior knowledge. However, the evolution of CNN architectures has tended towards increasing complexity, utilizing intricate structures to enhance performance, often at the expense of computational efficiency. In response, we propose the Selective Kernel Dense Residual M-shaped Network (SKDRMNet), a flexible solution adept at balancing computational efficiency with network accuracy. A… 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

    Grazing Pressure and Plant Functional Types in Puna Highlands, Northwestern Argentina

    Quiroga Mendiola Mariana1,2,*, Tálamo Andrés3,4

    Phyton-International Journal of Experimental Botany, Vol.93, No.5, pp. 1067-1080, 2024, DOI:10.32604/phyton.2024.050556 - 28 May 2024

    Abstract The Puna grasslands support grazing systems that produce meat and wool in multi-species herds, especially from llama (Lama glama) and sheep. However, it is yet unknown whether grazing pressure can modify grassland structure and Plant Functional Types diversity and cover in Puna grasslands. We analyzed the relationship between grazing pressure and Plant Functional Types by comparing transects located near stockyards (high grazing pressure) and far from them (low pressure) and by evaluating the relationship between the Plant Functional Types cover to a Grazing Pressure Index (GPI). This index incorporates the heterogeneity of traditional pastoral management. At… More >

  • Open Access

    ARTICLE

    Novel Static Security and Stability Control of Power Systems Based on Artificial Emotional Lazy Q-Learning

    Tao Bao*, Xiyuan Ma, Zhuohuan Li, Duotong Yang, Pengyu Wang, Changcheng Zhou

    Energy Engineering, Vol.121, No.6, pp. 1713-1737, 2024, DOI:10.32604/ee.2023.046150 - 21 May 2024

    Abstract The stability problem of power grids has become increasingly serious in recent years as the size of novel power systems increases. In order to improve and ensure the stable operation of the novel power system, this study proposes an artificial emotional lazy Q-learning method, which combines artificial emotion, lazy learning, and reinforcement learning for static security and stability analysis of power systems. Moreover, this study compares the analysis results of the proposed method with those of the small disturbance method for a stand-alone power system and verifies that the proposed lazy Q-learning method is able More >

  • Open Access

    REVIEW

    A review on potential heterocycles for the treatment of glioblastoma targeting receptor tyrosine kinases

    NILAM BHUSARE, MAUSHMI KUMAR*

    Oncology Research, Vol.32, No.5, pp. 849-875, 2024, DOI:10.32604/or.2024.047042 - 23 April 2024

    Abstract Glioblastoma, the most aggressive form of brain tumor, poses significant challenges in terms of treatment success and patient survival. Current treatment modalities for glioblastoma include radiation therapy, surgical intervention, and chemotherapy. Unfortunately, the median survival rate remains dishearteningly low at 12–15 months. One of the major obstacles in treating glioblastoma is the recurrence of tumors, making chemotherapy the primary approach for secondary glioma patients. However, the efficacy of drugs is hampered by the presence of the blood-brain barrier and multidrug resistance mechanisms. Consequently, considerable research efforts have been directed toward understanding the underlying signaling pathways… More > Graphic Abstract

    A review on potential heterocycles for the treatment of glioblastoma targeting receptor tyrosine kinases

  • Open Access

    ARTICLE

    The Lambert-G Family: Properties, Inference, and Applications

    Jamal N. Al Abbasi1, Ahmed Z. Afify2,*, Badr Alnssyan3,*, Mustafa S. Shama4,5

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 513-536, 2024, DOI:10.32604/cmes.2024.046533 - 16 April 2024

    Abstract This study proposes a new flexible family of distributions called the Lambert-G family. The Lambert family is very flexible and exhibits desirable properties. Its three-parameter special sub-models provide all significant monotonic and non-monotonic failure rates. A special sub-model of the Lambert family called the Lambert-Lomax (LL) distribution is investigated. General expressions for the LL statistical properties are established. Characterizations of the LL distribution are addressed mathematically based on its hazard function. The estimation of the LL parameters is discussed using six estimation methods. The performance of this estimation method is explored through simulation experiments. The More >

  • Open Access

    ARTICLE

    CL2ES-KDBC: A Novel Covariance Embedded Selection Based on Kernel Distributed Bayes Classifier for Detection of Cyber-Attacks in IoT Systems

    Talal Albalawi, P. Ganeshkumar*

    CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 3511-3528, 2024, DOI:10.32604/cmc.2024.046396 - 26 March 2024

    Abstract The Internet of Things (IoT) is a growing technology that allows the sharing of data with other devices across wireless networks. Specifically, IoT systems are vulnerable to cyberattacks due to its opennes The proposed work intends to implement a new security framework for detecting the most specific and harmful intrusions in IoT networks. In this framework, a Covariance Linear Learning Embedding Selection (CL2ES) methodology is used at first to extract the features highly associated with the IoT intrusions. Then, the Kernel Distributed Bayes Classifier (KDBC) is created to forecast attacks based on the probability distribution More >

  • Open Access

    ARTICLE

    Comparison of QT Correction Methods in the Pediatric Population of a Community Hospital: A Retrospective Study

    Koren Hyogene Kwag1,*, Ibrahim Kak1, Ying Li2, Walid Khass1, Alec McKechnie1, Oksana Nulman1, Brande Brown1, Manoj Chhabra1

    Congenital Heart Disease, Vol.19, No.1, pp. 107-121, 2024, DOI:10.32604/chd.2024.045953 - 20 March 2024

    Abstract Objective: Accurate measurement of QT interval, the ventricular action potential from depolarization to repolarization, is important for the early detection of Long QT syndrome. The most effective QT correction (QTc) formula has yet to be determined in the pediatric population, although it has intrinsically greater extremes in heart rate (HR) and is more susceptible to errors in measurement. The authors of this study compare six different QTc methods (Bazett, Fridericia, Framingham, Hodges, Rautaharju, and a computer algorithm utilizing the Bazett formula) for consistency against variations in HR and RR interval. Methods: Descriptive Retrospective Study. We… More >

  • Open Access

    ARTICLE

    Curcumin inhibits colorectal cancer development by blocking the YAP/TAZ signaling axis

    FEI SHA1, DAISHAN XIN2, JUN XU3, ZHIWEI ZHENG1, WENXIN LIN1, XIAORUI CAI1, FEI LIN3, MINGHAO ZHENG1,*, JIAOLING CHEN1,*

    BIOCELL, Vol.48, No.3, pp. 443-451, 2024, DOI:10.32604/biocell.2023.029188 - 15 March 2024

    Abstract Background: Curcumin is a plant polyphenol with antitumor properties and inhibits the development of colorectal cancer (CRC). However, as the molecular mechanism associated is still unclear, our study aimed to explore the underlying molecular mechanisms by which curcumin inhibits CRC. Methods: HT29 and SW480 cells were treated with curcumin or/and Doxycycline (DOX), and cell viability, colony forming ability, migration and invasion were confirmed by cell counting kit-8 (CCK-8), colony forming, Transwell assays. And Yes-associated protein 1 (YAP) and PDZ-binding motif (TAZ) signaling-related genes or proteins were analyzed using reverse transcription quantitative real-time PCR (RT-qPCR), western More > Graphic Abstract

    Curcumin inhibits colorectal cancer development by blocking the YAP/TAZ signaling axis

  • Open Access

    ARTICLE

    High-throughput computational screening and in vitro evaluation identifies 5-(4-oxo-4H-3,1-benzoxazin-2-yl)-2-[3-(4-oxo-4H-3,1-benzoxazin-2-yl) phenyl]-1H-isoindole-1,3(2H)-dione (C3), as a novel EGFR—HER2 dual inhibitor in gastric tumors

    MESFER AL SHAHRANI, REEM GAHTANI, MOHAMMAD ABOHASSAN, MOHAMMAD ALSHAHRANI, YASSER ALRAEY, AYED DERA, MOHAMMAD RAJEH ASIRI, PRASANNA RAJAGOPALAN*

    Oncology Research, Vol.32, No.2, pp. 251-259, 2024, DOI:10.32604/or.2023.043139 - 28 December 2023

    Abstract Gastric cancers are caused primarily due to the activation and amplification of the EGFR or HER2 kinases resulting in cell proliferation, adhesion, angiogenesis, and metastasis. Conventional therapies are ineffective due to the intra-tumoral heterogeneity and concomitant genetic mutations. Hence, dual inhibition strategies are recommended to increase potency and reduce cytotoxicity. In this study, we have conducted computational high-throughput screening of the ChemBridge library followed by in vitro assays and identified novel selective inhibitors that have a dual impediment of EGFR/HER2 kinase activities. Diversity-based High-throughput Virtual Screening (D-HTVS) was used to screen the whole ChemBridge small molecular… More > Graphic Abstract

    High-throughput computational screening and <i>in vitro</i> evaluation identifies 5-(4-oxo-4H-3,1-benzoxazin-2-yl)-2-[3-(4-oxo-4H-3,1-benzoxazin-2-yl) phenyl]-1H-isoindole-1,3(2H)-dione (C3), as a novel EGFR—HER2 dual inhibitor in gastric tumors

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