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  • Open Access

    ARTICLE

    Experimental Exclusion of Guanaco Grazing Increases Cover, Diversity, Land Function and Plant Recruitment in Patagonia

    Carla Cepeda1,*, Gabriel Oliva1,2, Daniela Ferrante1,2

    Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1383-1401, 2024, DOI:10.32604/phyton.2024.052534

    Abstract Semiarid Patagonia represents 25% of the rangeland area in Argentina, and sheep overgrazing has degraded about a third of it in the past. In this century, depleted domestic stocks have mostly stabilized, but Guanaco populations have grown. These native camelids share habitat and diets with sheep, but their effect on vegetation is poorly understood and has long been debated. We set up an exclusion experiment in Monte León and Cañadón Vaca, a semiarid shrubland grassland in southern Patagonia, currently grazed only by guanacos. Vegetation baselines were studied in 2016 in twelve plots, and half of… More >

  • Open Access

    ARTICLE

    Experimental Study of Liquid Metal Flow for the Development of a Contact-Less Control Technique

    Aleksandr Poluyanov*, Ilya Kolesnichenko

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.7, pp. 1553-1563, 2024, DOI:10.32604/fdmp.2024.050165

    Abstract The article presents an experimental study on the flow of an eutectic gallium alloy in a cylindrical cell, which is placed in an alternating magnetic field. The magnetic field is generated by a coil connected to an alternating current source. The coil is located at a fixed height in such a way that its plane is perpendicular to the gravity vector, which in turn is parallel to the axis of the cylinder. The position of the cylinder can vary in height with respect to the coil. The forced flow of the considered electrically conductive liquid… More > Graphic Abstract

    Experimental Study of Liquid Metal Flow for the Development of a Contact-Less Control Technique

  • Open Access

    ARTICLE

    CFD Investigation of Diffusion Law and Harmful Boundary of Buried Natural Gas Pipeline in the Mountainous Environment

    Liqiong Chen1, Kui Zhao1, Kai Zhang1,*, Duo Xv1, Hongxvan Hu2, Guoguang Ma1, Wenwen Zhan3

    Energy Engineering, Vol.121, No.8, pp. 2143-2165, 2024, DOI:10.32604/ee.2024.049362

    Abstract The leakage gas from a buried natural gas pipelines has the great potential to cause economic losses and environmental pollution owing to the complexity of the mountainous environment. In this study, computational fluid dynamics (CFD) method was applied to investigate the diffusion law and hazard range of buried natural gas pipeline leakage in mountainous environment. Based on cloud chart, concentration at the monitoring site and hazard range of lower explosion limit (LEL) and upper explosion limit (UEL), the influences of leakage hole direction and shape, soil property, burial depth, obstacle type on the diffusion law… More >

  • Open Access

    ARTICLE

    Advancements in Remote Sensing Image Dehazing: Introducing URA-Net with Multi-Scale Dense Feature Fusion Clusters and Gated Jump Connection

    Hongchi Liu1, Xing Deng1,*, Haijian Shao1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.3, pp. 2397-2424, 2024, DOI:10.32604/cmes.2024.049737

    Abstract The degradation of optical remote sensing images due to atmospheric haze poses a significant obstacle, profoundly impeding their effective utilization across various domains. Dehazing methodologies have emerged as pivotal components of image preprocessing, fostering an improvement in the quality of remote sensing imagery. This enhancement renders remote sensing data more indispensable, thereby enhancing the accuracy of target identification. Conventional defogging techniques based on simplistic atmospheric degradation models have proven inadequate for mitigating non-uniform haze within remotely sensed images. In response to this challenge, a novel UNet Residual Attention Network (URA-Net) is proposed. This paradigmatic approach… More > Graphic Abstract

    Advancements in Remote Sensing Image Dehazing: Introducing URA-Net with Multi-Scale Dense Feature Fusion Clusters and Gated Jump Connection

  • Open Access

    REVIEW

    Ecosystem Services of Grazed Grasslands in the Flooding Pampa

    Elizabeth J. Jacobo1,#,*, Adriana M. Rodríguez2,#

    Phyton-International Journal of Experimental Botany, Vol.93, No.6, pp. 1179-1202, 2024, DOI:10.32604/phyton.2024.050928

    Abstract The Flooding Pampa grasslands are the last remnant of the Rio de la Plata grasslands in Argentina. Anthropogenic interventions have led to severe degradation and, as a result, the ecosystem services provided by the grasslands are declining, in terms of provisioning, regulating, and supporting services. We synthesized the existing literature on the ecosystem goods and services provided by these grasslands under grazing in different conditions and conservation status. We found that plant and animal diversity and primary production are the most studied ecosystem services, while climate regulation, water supply, nutrient cycling, meat production and erosion… More >

  • 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

    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

    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

    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

    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

    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

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