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  • Open Access

    REVIEW

    Economic Botany of Salvia officinalis L. with Emphasis on Essential Oil

    Ioana Crișan*

    Phyton-International Journal of Experimental Botany, Vol.95, No.5, 2026, DOI:10.32604/phyton.2026.078817 - 27 May 2026

    Abstract Salvia officinalis (Lamiaceae), commonly called garden sage or Dalmatian sage, is an aromatic species native to the Mediterranean Basin and one of the oldest medicinal herbs. Culinary importance is well attested historically and has continued relevance for contemporary regional gastronomy, particularly in Europe. Traditionally, it has been used for medicinal infusions, to flavor or preserve meat, and in the production of cheese specialties. Today, it is recognized for its commercial and industrial value. This work aims to provide an up-to-date look at the economic botany of this species, with special reference to the essential oil (EO)… More >

  • Open Access

    ARTICLE

    Effect of Selenium, Copper and Manganese Nanocomposites in Polysaccharide Matrices on the Content of Photosynthetic Pigments in Potato Leaf Tissues

    Alla I. Perfileva1, Konstantin V. Krutovsky2,3,4,5,6,*

    Phyton-International Journal of Experimental Botany, Vol.95, No.5, 2026, DOI:10.32604/phyton.2026.078352 - 27 May 2026

    Abstract The article presents the study of the effect of nanocomposites (NCs) based on selenium (Se), copper (Cu), and manganese (Mn) nanoparticles (NPs) embedded in a matrix of natural polysaccharides—arabinogalactan (AG), carrageenan (CAR), and starch (ST)—on the content of chlorophylls (Chls) and carotenoids in potato tissues in vitro. Potatoes were grown for 28 days on Murashige-Skoog (MS) medium with the addition of a NC, then pigments were isolated from leaf tissues, and their content was determined spectrophotometrically. Both a stimulating effect and an inhibitory effect of different NCs on the pigment content were found. Se and Cu… More >

  • Open Access

    ARTICLE

    Low Cost Friction Damper Solutions for Seismic Performance Enhancement of Structures

    Radha Krishna Mallik1, Gokarna Bahadur Motra1, Krishna Shrestha2,3,*

    Structural Durability & Health Monitoring, Vol.20, No.3, 2026, DOI:10.32604/sdhm.2025.075535 - 18 May 2026

    Abstract The study proposes a low-cost friction damper designed to enhance the seismic performance of buildings, particularly in regions where existing structures lack adequate seismic resistance and conventional friction dampers are cost-prohibitive or require specialized fabrication. Friction dampers are displacement-controlled devices that dissipate energy through constant slip-force action and relative displacement between attachment points, typically ensuring elastic structural behavior under Design Basis Earthquake (DBE) demands and controlled yielding under Maximum Considered Earthquake (MCE) conditions. To address limitations in current practice, the proposed device integrates the damping mechanism of vehicle leaf-spring suspension systems with rotational plate friction… More >

  • Open Access

    ARTICLE

    Wheat Leaf Rust Detection and Infected-Area Estimation Using Multi-Scale Fusion and Lab-Based Lesion Localization

    Sajid Ullah Khan*

    CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.079440 - 08 May 2026

    Abstract Healthcare, education, technological advancement, and farming are the key challenges facing developing countries, with agriculture unquestionably playing an important role in economic growth. Ensuring adequate food production is essential for citizens’ survival, as it is anticipated that efforts in this area would result in increased food productivity. A key approach to enhancing field productivity involves meticulous care of its components, starting with the production of crops. Wheat leaf rust poses a severe threat, particularly to young seedlings, constituting a significant fungal disease that can cause a 25% reduction in wheat productivity. To overcome these issues,… More >

  • Open Access

    ARTICLE

    Optimizing YOLOv11 for Rice Disease Detection: Integrating RepViT Backbone, BiFPN, and CBAM Attention

    Sang-Hyun Lee*, Qingtao Meng

    CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.077207 - 09 April 2026

    Abstract Accurate and timely detection of rice leaf diseases is critical for ensuring global food security and maximizing agricultural yields. However, existing deep learning methods often struggle to balance the high accuracy required for detecting multi-scale lesions in complex field environments with the computational efficiency necessary for edge device deployment. This paper proposes You Only Look Once for Lightweight Detection (YOLOv11-LD), a lightweight object detection model for multi-scale rice leaf disease detection in real paddy field environments. The model is built on YOLOv11n and integrates a Re-parameterized Vision Transformer (RepViT) backbone, a Bidirectional Feature Pyramid Network… More >

  • Open Access

    ARTICLE

    Green Synthesis and Characterization of ZnS and ZnS@Ag2S Core–Shell Nanoparticles Using Mint Leaf Extract

    Ruqayah A. Ulwali, Nada K. Abbas*

    Chalcogenide Letters, Vol.23, No.3, 2026, DOI:10.32604/cl.2026.078934 - 03 April 2026

    Abstract In this study, zinc sulfide nanoparticles (ZnS NPs) and zinc sulfide @ Silver sulfide core-shells (ZnS@Ag2S NPs) were prepared using the green method with mint leaf extract as a reducing and coating agent, at varying concentrations of silver nitrate (AgNO3) (0.005, 0.01, and 0.02 M). X-ray diffraction analysis (XRD) results showed the formation of a cubic phase of ZnS NPs and a monoclinic phase of Ag2S with increasing silver nitrate concentration. The average crystalline size of ZnS NPs was calculated to be 2.01 nm and (2.78, 2.65, and 2.13 nm) after Ag2S formation, while the shell (Ag2S) was… More >

  • Open Access

    ARTICLE

    Effect of Green Lipid Treatments on the Morphological, Physical, Hygroscopic, and Mechanical Properties of Pineapple Leaf Fibres

    Achille Désiré Betené Omgba1,2,*, Cheryle Manfouo Tchoupmene1, Benoit Ndiwe1,2,*, Antonios N. Papadopoulos3, Remy Legrand Ndoumou Belinga1, Julien Clerc Obam1, Christel Cedrig Laris Nsi Ongo1, Ioanna A. Papadopoulou4, Armel Brice Mvogo1,2, Fabien Betené Ebanda1,2, Atangana Ateba1,2, Antonio Pizzi5

    Journal of Renewable Materials, Vol.14, No.3, 2026, DOI:10.32604/jrm.2026.02025-0201 - 25 March 2026

    Abstract The high hydrophilicity of pineapple leaf fibres (PALF) limits their use in cement- and gypsum-based composites exposed to moisture. This study evaluates, for the first time, the combined effect of palm kernel oil and beeswax on the hygroscopic resistance and mechanical stability of PALF. The fibres were functionalised with three formulations (oil, wax, and a 1:2 oil/wax blend) applied at different mass ratios (CR = 0.5–2). Treatments increased the average bundle diameter by up to +46% (238 μm) and reduced density down to 1.06 g/cm3. Hygroscopically, water absorption decreased from 202.4% (raw fibres) to 76.3% (CR… More > Graphic Abstract

    Effect of Green Lipid Treatments on the Morphological, Physical, Hygroscopic, and Mechanical Properties of Pineapple Leaf Fibres

  • Open Access

    ARTICLE

    LEAF: A Lightweight Edge Agent Framework with Expert SLMs for the Industrial Internet of Things

    Qingwen Yang1, Zhi Li2, Jiawei Tang1, Yanyi Liu1, Tiezheng Guo1, Yingyou Wen1,*

    CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2025.074384 - 12 March 2026

    Abstract Deploying Large Language Model (LLM)-based agents in the Industrial Internet of Things (IIoT) presents significant challenges, including high latency from cloud-based APIs, data privacy concerns, and the infeasibility of deploying monolithic models on resource-constrained edge devices. While smaller models (SLMs) are suitable for edge deployment, they often lack the reasoning power for complex, multi-step tasks. To address these issues, this paper introduces LEAF, a Lightweight Edge Agent Framework designed for efficiently executing complex tasks at the edge. LEAF employs a novel architecture where multiple expert SLMs—specialized for planning, execution, and interaction—work in concert, decomposing complex… More >

  • Open Access

    ARTICLE

    YOLO-SPDNet: Multi-Scale Sequence and Attention-Based Tomato Leaf Disease Detection Model

    Meng Wang1, Jinghan Cai1, Wenzheng Liu1, Xue Yang1, Jingjing Zhang1, Qiangmin Zhou1, Fanzhen Wang1, Hang Zhang1,*, Tonghai Liu2,*

    Phyton-International Journal of Experimental Botany, Vol.95, No.1, 2026, DOI:10.32604/phyton.2025.075541 - 30 January 2026

    Abstract Tomato is a major economic crop worldwide, and diseases on tomato leaves can significantly reduce both yield and quality. Traditional manual inspection is inefficient and highly subjective, making it difficult to meet the requirements of early disease identification in complex natural environments. To address this issue, this study proposes an improved YOLO11-based model, YOLO-SPDNet (Scale Sequence Fusion, Position-Channel Attention, and Dual Enhancement Network). The model integrates the SEAM (Self-Ensembling Attention Mechanism) semantic enhancement module, the MLCA (Mixed Local Channel Attention) lightweight attention mechanism, and the SPA (Scale-Position-Detail Awareness) module composed of SSFF (Scale Sequence Feature… More >

  • Open Access

    ARTICLE

    Physiological and Metabolic Responses of Red Leaf Lettuce (Lactuca sativa L.) under Low Pressure Conditions

    Wonkyu Yi, Jongseok Park*

    Phyton-International Journal of Experimental Botany, Vol.95, No.1, 2026, DOI:10.32604/phyton.2026.073450 - 30 January 2026

    Abstract Understanding plant responses under low-pressure conditions is important for developing closed cultivation systems that simulate space environments. This study aimed to assess the effects of different pressure levels on growth, photosynthesis, and secondary metabolite accumulation in red leaf lettuce (Lactuca sativa L. var. ‘Super Caesar’s Red’). Plants were cultivated for three weeks in sealed chambers under 101 kPa (atmospheric pressure), 66 kPa (moderate low pressure), and 33 kPa (severe low pressure). Growth analysis showed that leaf length and leaf area decreased significantly with reduced pressure, while chlorophyll content and SPAD values increased gradually. Photosynthetic measurements indicated More >

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