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  • Open Access

    ARTICLE

    Isolation and Characterization of Cellulose Nanofiber (CNF) from Kenaf (Hibiscus cannabinus) Bast through the Chemo-Mechanical Process

    Rudi Dungani1,*, Mohammad Irfan Bakshi2, Tsabita Zahra Hanifa1, Mustika Dewi1, Firda A. Syamani2, Melbi Mahardika2, Widya Fatriasari2,*

    Journal of Renewable Materials, Vol.12, No.6, pp. 1057-1069, 2024, DOI:10.32604/jrm.2024.049342 - 02 August 2024

    Abstract The present work emphasizes the isolation of cellulose nanofiber (CNF) from the kenaf (Hibiscus cannabinus) bast through a chemo-mechanical process. In order to develop high CNF yield with superior properties of CNF for improving compatibility in varied applications this method is proposed. The fiber purification involved pulping and bleaching treatments, whereas mechanical treatment was performed by grinding and high-pressure treatments. The kraft pulping as a delignification method followed by bleaching has successfully removed almost 99% lignin in the fiber with high pulp yield and delignification selectivity. The morphology of the fibers was characterized by scanning electron More > Graphic Abstract

    Isolation and Characterization of Cellulose Nanofiber (CNF) from Kenaf <i>(Hibiscus cannabinus)</i> Bast through the Chemo-Mechanical Process

  • Open Access

    ARTICLE

    Modeling of Leachate Propagation in a Municipal Solid Waste Landfill Foundation

    Nadezhda Zubova*, Andrey Ivantsov

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.6, pp. 1407-1424, 2024, DOI:10.32604/fdmp.2024.051130 - 27 June 2024

    Abstract The study deals with the numerical modeling of leachate distribution in the porous medium located under a municipal solid waste disposal landfill (MSWLF). The considered three-layer system is based on geological data obtained from field measurements. For simplicity, the problem is investigated by assuming a two-component approach. Nevertheless, the heat produced by landfills due to biological and chemical processes and the thermal diffusion mechanism contributing to pollution transport are taken into account. The numerical modeling of the propagation of leachate in the considered layered porous medium is implemented for parameters corresponding to natural soil and More >

  • Open Access

    ARTICLE

    Damage Diagnosis of Bleacher Based on an Enhanced Convolutional Neural Network with Training Interference

    Chaozhi Cai*, Xiaoyu Guo, Yingfang Xue, Jianhua Ren

    Structural Durability & Health Monitoring, Vol.18, No.3, pp. 321-339, 2024, DOI:10.32604/sdhm.2024.045831 - 15 May 2024

    Abstract Bleachers play a crucial role in practical engineering applications, and any damage incurred during their operation poses a significant threat to the safety of both life and property. Consequently, it becomes imperative to conduct damage diagnosis and health monitoring of bleachers. The intricate structure of bleachers, the varied types of potential damage, and the presence of similar vibration data in adjacent locations make it challenging to achieve satisfactory diagnosis accuracy through traditional time-frequency analysis methods. Furthermore, field environmental noise can adversely impact the accuracy of bleacher damage diagnosis. To enhance the accuracy and anti-noise capabilities… More > Graphic Abstract

    Damage Diagnosis of Bleacher Based on an Enhanced Convolutional Neural Network with Training Interference

  • Open Access

    ARTICLE

    The Combination of Achnatherum inebrians Extracts and Soil Microorganisms Inhibited Seed Germination and Seedling Growth in Elymus nutans

    Rui Zhang1, Taixiang Chen1, Zhenjiang Chen1, Hao Chen1, Xuekai Wei1, Malik Kamran1, Chunjie Li1,2,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.3, pp. 567-580, 2024, DOI:10.32604/phyton.2024.047485 - 28 March 2024

    Abstract In a greenhouse experiment, the effects of soil microorganisms and extracts of Achnatherum inebrians on the seed germination and seedling growth of Elymus nutans were studied. The results showed that both the extracts from aboveground and belowground parts of A. inebrians significantly inhibited the germination rate, germination potential, germination index, vigor index, seedling height, root length, and fresh weight of E. nutans, but increased malondialdehyde content, catalase, peroxidase and superoxide dismutase activity of E. nutans seedlings (p < 0.05). The allelopathy of aqueous extracts of the aboveground parts of A. inebrians was stronger than that of the precipitates. Aqueous extracts of the… More >

  • Open Access

    ARTICLE

    Rao Algorithms-Based Structure Optimization for Heterogeneous Wireless Sensor Networks

    Shereen K. Refaay1, Samia A. Ali2, Moumen T. El-Melegy2, Louai A. Maghrabi3, Hamdy H. El-Sayed1,*

    CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 873-897, 2024, DOI:10.32604/cmc.2023.044982 - 30 January 2024

    Abstract The structural optimization of wireless sensor networks is a critical issue because it impacts energy consumption and hence the network’s lifetime. Many studies have been conducted for homogeneous networks, but few have been performed for heterogeneous wireless sensor networks. This paper utilizes Rao algorithms to optimize the structure of heterogeneous wireless sensor networks according to node locations and their initial energies. The proposed algorithms lack algorithm-specific parameters and metaphorical connotations. The proposed algorithms examine the search space based on the relations of the population with the best, worst, and randomly assigned solutions. The proposed algorithms… More >

  • Open Access

    ARTICLE

    Assessment of Nutrient Leaching Losses and Crop Uptake with Organic Fertilization, Water Saving Practices and Reduced Inorganic Fertilizer

    Xiaotong Liu1,#, Muhammad Amjad Bashir2,3,#, Yucong Geng4, Qurat-Ul-Ain Raza2, Abdur Rehim2, Muhammad Aon2, Jianhang Luo1, Ying Zhao1, Xuejun Zhang1,*, Hongbin Liu4,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1555-1570, 2023, DOI:10.32604/phyton.2023.026735 - 09 March 2023

    Abstract

    The increasing world population has forced excessive chemical fertilizer and irrigation to complete the global food demand, deteriorating the water quality and nutrient losses. Short-term studies do not compile the evidences; therefore, the study aimed to identify the effectiveness of reduced doses of inorganic fertilizer and water-saving practices, hence, a six-year experiment (2015–2020) was conducted in China to address the knowledge gap. The experimental treatments were: farmer accustomed fertilization used as control (525:180:30 kg NPK ha−1), fertilizer decrement (450:150:15 kg NPK ha−1), fertilizer decrement + water-saving irrigation (450:150:15 kg NPK ha−1), application of organic and inorganic fertilizer

    More >

  • Open Access

    ARTICLE

    Leaching Fraction (LF) of Irrigation Water for Saline Soils Using Machine Learning

    Rab Nawaz Bashir1, Imran Sarwar Bajwa2, Muhammad Waseem Iqbal3,*, Muhammad Usman Ashraf4, Ahmed Mohammed Alghamdi5, Adel A. Bahaddad6, Khalid Ali Almarhabi7

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1915-1930, 2023, DOI:10.32604/iasc.2023.030844 - 05 January 2023

    Abstract Soil salinity is a serious land degradation issue in agriculture. It is a major threat to agriculture productivity. Extra irrigation water is applied to leach down the salts from the root zone of the plants in the form of a Leaching fraction (LF) of irrigation water. For the leaching process to be effective, the LF of irrigation water needs to be adjusted according to the environmental conditions and soil salinity level in the form of Evapotranspiration (ET) rate. The relationship between environmental conditions and ET rate is hard to be defined by a linear relationship… More >

  • Open Access

    ARTICLE

    CEER: Cooperative Energy-Efficient Routing Mechanism for Underwater Wireless Sensor Networks Using Clusters

    Sayyed Mudassar Shah1, Tariq Hussain2, Babar Shah3, Farman Ali4, Khalid Zaman1, Kyung-Sup Kwak5,*

    Computer Systems Science and Engineering, Vol.45, No.3, pp. 2587-2602, 2023, DOI:10.32604/csse.2023.034489 - 21 December 2022

    Abstract Underwater acoustic sensor networks (UWASNs) aim to find varied offshore ocean monitoring and exploration applications. In most of these applications, the network is composed of several sensor nodes deployed at different depths in the water. Sensor nodes located at depth on the seafloor cannot invariably communicate with nodes close to the surface level; these nodes need multi-hop communication facilitated by a suitable routing scheme. In this research work, a Cluster-based Cooperative Energy Efficient Routing (CEER) mechanism for UWSNs is proposed to overcome the shortcomings of the Co-UWSN and LEACH mechanisms. The optimal role of clustering… More >

  • Open Access

    ARTICLE

    Modification of Wood by Tannin-Furfuryl Alcohol Resins–Effect on Dimensional Stability, Mechanical Properties and Decay Durability

    Mahdi Mubarok1,2, Christine Gérardin-Charbonnier1,*, Elham Azadeh1, Firmin Obounou Akong1, Stéphane Dumarçay1, Antonio Pizzi1, Philippe Gérardin1,*

    Journal of Renewable Materials, Vol.11, No.2, pp. 505-521, 2023, DOI:10.32604/jrm.2022.024872 - 22 September 2022

    Abstract Furfurylation is a well-known wood modification technology. This paper studied the effect of tannin addition on the wood furfurylation. Three kinds of dicarboxylic acids, adipic acid, succinic acid, and tartaric acid, as well as glyoxal as a comparing agent, were used to catalyse the polymerisation of furanic or tannin-furanic solutions during wood modification. Impregnation of furanic or tannin-furanic solution at a certain concentration into the wood followed with curing at 103°C for a specific duration was performed for the wood modification. Different properties of the modified woods like dimensional stability, resistance of treatment to leaching, More >

  • Open Access

    ARTICLE

    ESSD: Energy Saving and Securing Data Algorithm for WSNs Security

    Manar M. Aldaseen1, Khaled M. Matrouk1, Laiali H. Almazaydeh2,*, Khaled M. Elleithy3

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3969-3981, 2022, DOI:10.32604/cmc.2022.028520 - 16 June 2022

    Abstract The Wireless Sensor Networks (WSNs) are characterized by their widespread deployment due to low cost, but the WSNs are vulnerable to various types of attacks. To defend against the attacks, an effective security solution is required. However, the limits of these networks’ battery-based energy to the sensor are the most critical impediments to selecting cryptographic techniques. Consequently, finding a suitable algorithm that achieves the least energy consumption in data encryption and decryption and providing a highly protected system for data remains the fundamental problem. In this research, the main objective is to obtain data security… More >

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