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  • Open Access

    SHORT COMMUNICATION

    A Gel-Free Budget-Friendly Approach to GFP-Tagged Viruses Quantification in Plant Samples

    Rohith Grandhi, Mélodie B. Plourde, Aditi Balasubramani, Hugo Germain*

    Phyton-International Journal of Experimental Botany, Vol.94, No.5, pp. 1497-1504, 2025, DOI:10.32604/phyton.2025.063974 - 29 May 2025

    Abstract Viral diseases are an important threat to crop yield, as they are responsible for losses greater than US$30 billion annually. Thus, understanding the dynamics of virus propagation within plant cells is essential for devising effective control strategies. However, viruses are complex to propagate and quantify. Existing methodologies for viral quantification tend to be expensive and time-consuming. Here, we present a rapid cost-effective approach to quantify viral propagation using an engineered virus expressing a fluorescent reporter. Using a microplate reader, we measured viral protein levels and we validated our findings through comparison by western blot analysis More >

  • Open Access

    ARTICLE

    Morpho-Physiological Indices for Identification of Heat Tolerant Wheat Genotypes (Triticum aestivum L.) at Seedling Stage

    S. Y. Labonno, M. S. Raihan, M. Mohi-Ud-Din, A. K. M. Aminul Islam*

    Phyton-International Journal of Experimental Botany, Vol.94, No.5, pp. 1545-1563, 2025, DOI:10.32604/phyton.2025.063916 - 29 May 2025

    Abstract Morpho-physiological evaluation of a crop’s genetic resources is necessary to find possible genotypes to include in breeding initiatives. The objective of this study was to identify heat-tolerant wheat genotypes among36 mutant lines using morpho-physiological indices. Seedlings of mutant lines and check varieties were grown under both normal (control) and heat-stress conditions in growth chambers. Data were recorded on root-shoot parameters (length, fresh weight, dry weight, and ratio), relative water content (RWC), stability of cell membrane, pigment content, and chlorophyll fluorescence. Two-way analysis of variance showed significant (p < 0.01, p < 0.001) variation among15 morpho-physiological features… More >

  • Open Access

    ARTICLE

    Ascorbic Acid Alleviates Salt Stress on the Physiology and Growth of Guava Seedlings

    Jackson Silva Nóbrega1,*, Geovani Soares de Lima1, Jean Telvio Andrade Ferreira2, Julio Cesar Agostinho da Silva1, Lauriane Almeida dos Anjos Soares1, Valéria Fernandes de Oliveira Sousa1, Paulo Vinicius de Oliveira Freire1, Reynaldo Teodoro de Fátima1, Flávia de Sousa Almeida1, Hans Raj Gheyi2, Josemir Moura Maia3

    Phyton-International Journal of Experimental Botany, Vol.94, No.5, pp. 1587-1600, 2025, DOI:10.32604/phyton.2025.063633 - 29 May 2025

    Abstract The Northeast region is the main producer of guava in Brazil, generating employment and income. However, water availability means that producer’s resort to using water with high salinity, which harms plant development, especially during the seedling formation phase. The adoption of techniques that mitigate the deleterious effect of salinity is increasingly necessary, such as the use of elicitors such as ascorbic acid. The purpose of this study was to analyze the morphophysiology of guava seedlings under saline and ascorbic acid levels. The study was carried out by applying treatments composed of five saline levels (SL… More >

  • Open Access

    ARTICLE

    Exploring the correlation and mechanism of natural killer cell cytotoxic sensitivity against gastric cancer

    WENZHUO YANG1,#, HAODONG CHEN2,#, ZHILAN ZHANG3, ZHIYONG XIA3, YUANYUAN JIN1,*, ZHAOYONG YANG1,*

    Oncology Research, Vol.33, No.6, pp. 1485-1494, 2025, DOI:10.32604/or.2025.059426 - 29 May 2025

    Abstract Background: Human natural killer (NK) cells have attracted widespread attention as a potential adoptive cell therapy (ACT). However, the therapeutic effects of NK cell infusion in patients with solid tumors are limited. There is an urgent need to explore a suitable new treatment plan to overcome weaknesses and support the superior therapeutic activity of NK cells. Methods: In this study, the mechanisms underlying the susceptibility of gastric cancer (GC) cell lines AGS, HGC-27, and NCI-N87 to NK cell-mediated cytotoxicity were explored. Results: Lactic dehydrogenase (LDH) release assays showed that all three GC cell lines were susceptible… More >

  • Open Access

    ARTICLE

    Eco-Friendly Materials Composed of Cellulose Fibers from Agave Bagasse with Silver Nanoparticles and Shrimp Chitosan

    Belkis Sulbarán-Rangel1,*, Jorge Armando Caldera Siller1, Salvador García Enríquez2, José Anzaldo-Hernandez2, Jenny Arratia-Quijada3, Marianelly Esquivel Alfaro4

    Journal of Renewable Materials, Vol.13, No.5, pp. 849-863, 2025, DOI:10.32604/jrm.2025.02024-0061 - 20 May 2025

    Abstract In this research, the antibacterial properties of a composite material prepared from agave bagasse cellulose fibers doped with silver nanoparticles and chitosan were studied. The development of composite materials with antibacterial properties and environmentally friendly based on cellulose fibers from agave bagasse with silver nanoparticles prepared by green synthesis and chitosan from shrimp waste enhances the value of these agro-industrial wastes and offers the opportunity for them to have biomedical applications since these raw materials have been poorly reported for this application. The antibacterial properties of chitosan and silver nanoparticles are already known. However, the… More > Graphic Abstract

    Eco-Friendly Materials Composed of Cellulose Fibers from Agave Bagasse with Silver Nanoparticles and Shrimp Chitosan

  • Open Access

    ARTICLE

    Design a Computer Vision Approach to Localize, Detect and Count Rice Seedlings Captured by a UAV-Mounted Camera

    Trong Hieu Luu1, Phan Nguyen Ky Phuc2, Quang Hieu Ngo1,*, Thanh Tam Nguyen3, Huu Cuong Nguyen1

    CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5643-5656, 2025, DOI:10.32604/cmc.2025.064007 - 19 May 2025

    Abstract This study presents a drone-based aerial imaging method for automated rice seedling detection and counting in paddy fields. Utilizing a drone equipped with a high-resolution camera, images are captured 14 days post-sowing at a consistent altitude of six meters, employing autonomous flight for uniform data acquisition. The approach effectively addresses the distinct growth patterns of both single and clustered rice seedlings at this early stage. The methodology follows a two-step process: first, the GoogleNet deep learning network identifies the location and center points of rice plants. Then, the U-Net deep learning network performs classification and… More >

  • Open Access

    REVIEW

    Survey on AI-Enabled Resource Management for 6G Heterogeneous Networks: Recent Research, Challenges, and Future Trends

    Hayder Faeq Alhashimi1, Mhd Nour Hindia1, Kaharudin Dimyati1,*, Effariza Binti Hanafi1, Feras Zen Alden2, Faizan Qamar3, Quang Ngoc Nguyen4,5,*

    CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 3585-3622, 2025, DOI:10.32604/cmc.2025.062867 - 19 May 2025

    Abstract The forthcoming 6G wireless networks have great potential for establishing AI-based networks that can enhance end-to-end connection and manage massive data of real-time networks. Artificial Intelligence (AI) advancements have contributed to the development of several innovative technologies by providing sophisticated specific AI mathematical models such as machine learning models, deep learning models, and hybrid models. Furthermore, intelligent resource management allows for self-configuration and autonomous decision-making capabilities of AI methods, which in turn improves the performance of 6G networks. Hence, 6G networks rely substantially on AI methods to manage resources. This paper comprehensively surveys the recent… More >

  • Open Access

    ARTICLE

    Effects of Surface Herbs on the Growth of Populus L. Cutting Seedling, Soil Property and Ammonia Volatilization

    Chang Liu1,3, Chengcheng Yin1, Jinjin Zhang2, Haijun Sun1,3,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 695-707, 2025, DOI:10.32604/phyton.2025.061790 - 31 March 2025

    Abstract To promote the growth of cutting seeding of poplar (Populus L.), nitrogen (N) fertilizer and surface weed managements were required. We here conducted a pot experiment to examine the effects of natural vegetation, barnyardgrass (Echinochloa Beauv.), and sesbania (Sesbania cannabina pers.) on the growth of poplar cutting seedlings, soil properties, and ammonia (NH3) volatilization under three N inputs (0, 0.5, and 1.5 g/pot, i.e., N0, N0.5, and N1, respectively). Results showed that N application promoted the growth of poplar cutting seedlings, including plant height, ground diameter, and biomass, compared with N0 treatment. Moreover, under N0, sesbania significantly increased… More >

  • Open Access

    ARTICLE

    Enhancing LoRaWAN Sensor Networks: A Deep Learning Approach for Performance Optimizing and Energy Efficiency

    Maram Alkhayyal*, Almetwally M. Mostafa

    CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1079-1100, 2025, DOI:10.32604/cmc.2025.061836 - 26 March 2025

    Abstract The rapid expansion of the Internet of Things (IoT) has led to the widespread adoption of sensor networks, with Long-Range Wide-Area Networks (LoRaWANs) emerging as a key technology due to their ability to support long-range communication while minimizing power consumption. However, optimizing network performance and energy efficiency in dynamic, large-scale IoT environments remains a significant challenge. Traditional methods, such as the Adaptive Data Rate (ADR) algorithm, often fail to adapt effectively to rapidly changing network conditions and environmental factors. This study introduces a hybrid approach that leverages Deep Learning (DL) techniques, namely Long Short-Term Memory… More >

  • Open Access

    ARTICLE

    Monitoring Vegetation Cover Changes in a Rapidly Urbanizing Region: A Case Study in Da Nang City, Vietnam

    Vu Thi Phuong1, Bui Bao Thien2,*

    Revue Internationale de Géomatique, Vol.34, pp. 151-168, 2025, DOI:10.32604/rig.2025.062829 - 21 March 2025

    Abstract Vegetation is crucial to ecosystems, thus, detecting and assessing changes in vegetation cover are receiving increasing attention. In this study, we combine remote sensing data and geographic information systems to assess vegetation cover changes in Da Nang city, Vietnam, between 1988 and 2022. Remote sensing images for the years 1988, 2000, and 2010 were obtained from Landsat 5-TM satellite data, and imagery for 2022 was obtained from Landsat 9-OLI/TIRS satellite data. In each satellite scene, we used supervised classification and spectral indices (NDWI—Normalized Difference Water Index, NDVI—Normalized Difference Vegetation Index, and SAVI—Soil Adjusted Vegetation Index) More >

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