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  • Open Access

    ARTICLE

    Bioactive Compounds Recovery from Larrea tridentata by Green Ultrasound-Assisted Extraction

    Muyideen Olaitan Bamidele1, José Sandoval-Cortés1, María Liliana Flores-López2, Olga Berenice Álvarez Pérez1, Monica Lizeth Chavez González1, Cristóbal Noe Aguilar1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 3091-3107, 2024, DOI:10.32604/phyton.2024.058422 - 30 November 2024

    Abstract Postharvest losses remain a significant challenge, particularly in developing countries that have inadequate infrastructure. Medicinal plants offer an eco-friendly and sustainable solution for managing diseases and pests in agricultural systems. These plants are rich in bioactive compounds, such as alkaloids, flavonoids, terpenoids, phenolics, and essential oils, many of which have proven antimicrobial, antifungal, insecticidal, and antioxidant properties. These characteristics make medicinal plants viable candidates for postharvest disease and pest control. Among these, Larrea tridentata (creosote bush) is particularly notable for its bioactive compounds with strong antifungal properties. Their potential applications include agriculture, food preservation, and medicine.… More > Graphic Abstract

    Bioactive Compounds Recovery from <i>Larrea tridentata</i> by Green Ultrasound-Assisted Extraction

  • Open Access

    ARTICLE

    Phytochemical and Pharmacological Study on the Dry Extract of Matricaria discoidea DC. herb and Its Amino Acids Preparations

    Oleh Koshovyi1,2,*, Janne Sepp1, Valdas Jakštas3, Vaidotas Žvikas3, Karina Tolmacheva4, Igor Kireyev4, Jyrki Heinämäki1, Ain Raal1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2909-2925, 2024, DOI:10.32604/phyton.2024.056536 - 30 November 2024

    Abstract Pineappleweed (Matricaria discoidea DC., Asteraceae) herb is an essential oil containing raw material with spasmolytic and anti-inflammatory activity. It is also rich in phenolics, which may be used in pharmaceutical practice. This study aimed to investigate the phenolic and amino acid composition and the hyporific and analgesic effects of the M. discoidea aqueous-ethanolic extract and its amino acid modifications. In addition, we developed a polyethylene oxide gel formulation with M. discoidea extracts for the 3D-printed oral solid dosage preparations. In M. discoidea extracts, 16 phenolic substances and 14 amino acids were established. The extract and its amino acid preparations More >

  • Open Access

    ARTICLE

    The Oxyalkylation of Hydrophilic Black Alder Bark Extractives with Propylene Carbonate with a Focus on Green Polyols Synthesis

    Alexandr Arshanitsa*, Matiss Pals, Daniela Godina, Oskars Bikovens

    Journal of Renewable Materials, Vol.12, No.11, pp. 1927-1948, 2024, DOI:10.32604/jrm.2024.056466 - 22 November 2024

    Abstract The isolated hydrophilic black alder (Alnus glutinosa) bark extractives were characterized in terms of component and functional composition and converted at 150°C–170°C into liquid green polyols using solvent-free and low-toxic base-catalyzed modification with propylene carbonate (PC). FTIR spectroscopy, HP-LC, GC, GPC, and wet chemistry methods were used to characterize the starting constituents, intermediate and final products of the reaction and to monitor the different pathways of PC conversion. The reaction of extractives as well as the model compounds, including catechol, xylose, PEG 400, and benzoic acid, with PC indicated the ability of OH groups of different… More > Graphic Abstract

    The Oxyalkylation of Hydrophilic Black Alder Bark Extractives with Propylene Carbonate with a Focus on Green Polyols Synthesis

  • Open Access

    PROCEEDINGS

    A Study on the Extraction and Evaluation Method of Virtual Strain

    Peiyan Wang1,*, Haoyu Wang1, Minghui Liu2, Fuchao Liu1, Zhufeng Yue1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011318

    Abstract The virtual test is supported by the physical test data, and a high-precision simulation model needs to be established to maximize the alignment between the simulation prediction results and the physical test data. It can replace other physical tests and achieve the goal of reducing the design cycle time and cost. However, due to the errors caused by the position and angle deviation of the strain gauge paste, as well as the sensitivity coefficient of the strain gauge and the wire, it is difficult for the simulation results to correspond to the test results in… More >

  • Open Access

    ARTICLE

    Automatic Extraction of Medical Latent Variables from ECG Signals Utilizing a Mutual Information-Based Technique and Capsular Neural Networks for Arrhythmia Detection

    Abbas Ali Hassan, Fardin Abdali-Mohammadi*

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 971-983, 2024, DOI:10.32604/cmc.2024.053817 - 15 October 2024

    Abstract From a medical perspective, the 12 leads of the heart in an electrocardiogram (ECG) signal have functional dependencies with each other. Therefore, all these leads report different aspects of an arrhythmia. Their differences lie in the level of highlighting and displaying information about that arrhythmia. For example, although all leads show traces of atrial excitation, this function is more evident in lead II than in any other lead. In this article, a new model was proposed using ECG functional and structural dependencies between heart leads. In the prescreening stage, the ECG signals are segmented from… More >

  • Open Access

    ARTICLE

    Enhancing Early Detection of Lung Cancer through Advanced Image Processing Techniques and Deep Learning Architectures for CT Scans

    Nahed Tawfik1,*, Heba M. Emara2, Walid El-Shafai3, Naglaa F. Soliman4, Abeer D. Algarni4, Fathi E. Abd El-Samie4

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 271-307, 2024, DOI:10.32604/cmc.2024.052404 - 15 October 2024

    Abstract Lung cancer remains a major concern in modern oncology due to its high mortality rates and multifaceted origins, including hereditary factors and various clinical changes. It stands as the deadliest type of cancer and a significant cause of cancer-related deaths globally. Early diagnosis enables healthcare providers to administer appropriate treatment measures promptly and accurately, leading to improved prognosis and higher survival rates. The significant increase in both the incidence and mortality rates of lung cancer, particularly its ranking as the second most prevalent cancer among women worldwide, underscores the need for comprehensive research into efficient… More >

  • Open Access

    ARTICLE

    Phytochemical and Pharmacological Research in Galenic Remedies of Solidago canadensis L. Herb

    Yurii Hrytsyk1, Oleh Koshovyi2,3, Martin Lepiku4, Valdas Jakštas5, Vaidotas Žvikas5, Tetiana Matus1, Mariia Melnyk1, Lyubov Grytsyk1, Ain Raal2,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2303-2315, 2024, DOI:10.32604/phyton.2024.055117 - 30 September 2024

    Abstract Canadian goldenrod (Solidago canadensis L.) is a rhizomatous plant of the Asteraceae family. In folk medicine, Solidago galenic remedies are used for diseases of the kidneys, urinary tract, liver, etc. Externally, goldenrod is used to treat purulent wounds, furunculosis, and gum abscesses as washes and compresses. The aims of this research were to study the yield and chemical composition of essential oil (EO), the anti-inflammatory activity of S. canadensis dry extracts based on its decoction and tincture. In EO (2.8 mL/kg) of S. canadensis were identified and quantified 34 compounds. The principal compounds of the EO from flowering tops… More > Graphic Abstract

    Phytochemical and Pharmacological Research in Galenic Remedies of <i>Solidago canadensis</i> L. Herb

  • Open Access

    REVIEW

    Plant Extracts as Biostimulant Agents: A Promising Strategy for Managing Environmental Stress in Sustainable Agriculture

    Mingzhao Han1, Susilawati Kasim1,*, Zhongming Yang2, Xi Deng2, Noor Baity Saidi3, Md Kamal Uddin1, Effyanti Mohd Shuib1

    Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2149-2166, 2024, DOI:10.32604/phyton.2024.054009 - 30 September 2024

    Abstract It is imperative to enhance crop yield to meet the demands of a burgeoning global population while simultaneously safeguarding the environment from adverse impacts, which is one of the dominant challenges confronting humanity in this phase of global climate change. To overcome this problem and reduce dependency on chemical fertilizer, scientists now view the implementation of biostimulant strategies as a cost-effective and environmentally friendly approach to achieving sustainable agriculture. Plant extracts are rich in bioactive phytocompounds, which can enhance plant resistance to disease, pest, and abiotic stresses (e.g., drought, salinity, and extreme temperature), and promote… More >

  • Open Access

    ARTICLE

    Tannins from Acacia mangium Bark as Natural Dyes for Textiles: Characteristics and Applications

    Maya Ismayati1,*, Nissa Nurfajrin Solihat1, Fifi Melinda Setiawati2, Wasrin Syafii2, Yuki Tobimatsu3, Deni Zulfiana4

    Journal of Renewable Materials, Vol.12, No.9, pp. 1625-1637, 2024, DOI:10.32604/jrm.2024.054739 - 25 September 2024

    Abstract Tannins are capable of producing natural dyes with antioxidant and antibacterial propertis, while synthetic dyes are commonly used in the textile industry, causing environmental issues like water pollution. This research aims to utilize waste tannins as natural dyes as an alternative to synthetic dyes. This study examined the effect of the extraction method on tannin properties such as phenolic content, antioxidants, and antibacterial activity. In addition, Pyrolysis Gas Chromatography‒Mass Spectrometry (Py-GCMS) analysis was used to identify the effect of extraction temperature on the chemical elucidation of tannin. The effect of tannin concentration was evaluated against… More > Graphic Abstract

    Tannins from <i>Acacia mangium</i> Bark as Natural Dyes for Textiles: Characteristics and Applications

  • Open Access

    ARTICLE

    HWD-YOLO: A New Vision-Based Helmet Wearing Detection Method

    Licheng Sun1, Heping Li2,3, Liang Wang1,4,*

    CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 4543-4560, 2024, DOI:10.32604/cmc.2024.055115 - 12 September 2024

    Abstract It is crucial to ensure workers wear safety helmets when working at a workplace with a high risk of safety accidents, such as construction sites and mine tunnels. Although existing methods can achieve helmet detection in images, their accuracy and speed still need improvements since complex, cluttered, and large-scale scenes of real workplaces cause server occlusion, illumination change, scale variation, and perspective distortion. So, a new safety helmet-wearing detection method based on deep learning is proposed. Firstly, a new multi-scale contextual aggregation module is proposed to aggregate multi-scale feature information globally and highlight the details… More >

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