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 >

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 >

Jackson Silva Nóbrega^1,*, 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 >

WENZHUO YANG^1,#, HAODONG CHEN^2,#, ZHILAN ZHANG³, ZHIYONG XIA³, YUANYUAN JIN^1,*, ZHAOYONG YANG^1,*

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 >

Belkis Sulbarán-Rangel^1,*, 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

Trong Hieu Luu¹, Phan Nguyen Ky Phuc², Quang Hieu Ngo^1,*, 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 >

Hayder Faeq Alhashimi¹, Mhd Nour Hindia¹, Kaharudin Dimyati^1,*, Effariza Binti Hanafi¹, Feras Zen Alden², Faizan Qamar³, Quang Ngoc Nguyen^4,5,*

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 >

Chang Liu^1,3, Chengcheng Yin¹, Jinjin Zhang², Haijun Sun^1,3,*

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 >

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 >

Vu Thi Phuong¹, Bui Bao Thien^2,*

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 >