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  • Open Access



    Ida Bagus Alit, I Gede Bawa Susana* , I Made Mara

    Frontiers in Heat and Mass Transfer, Vol.19, pp. 1-7, 2022, DOI:10.5098/hmt.19.25

    Abstract The study compared solar dryers with hot air from a heat exchanger double furnace during the drying of white turmeric. Solar drying is the process of drying the product in the sun. The hot air dryer consists of two furnaces with heat exchanger pipes and a drying chamber with six vertical shelves. During the test, the use of rice husk energy in a constant amount of 35 kg. Temperature and drying rate are higher in hot air dryers. Tests carried out for 420 minutes resulted in a change in moisture content from 88% to 35.88% and an average temperature of… More >

  • Open Access


    Identification of a Novel OsCYP2 Allele that Was Involved in Rice Response to Low Temperature Stress

    Hongxiu Gao1, Lin Zhu2, Tianqi Liu1, Xueyu Leng1, Zhenxing Zhu3, Wei Xie1, Haitao Lv1, Zhengxun Jin1, Ping Wu4,#, Zhongchen Zhang1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.6, pp. 1743-1763, 2023, DOI:10.32604/phyton.2023.026516

    Abstract Cyclophilin (CYP) plays an important role in plant response to stress, and OsCYP2, one gene of cyclophlilin family, is involved in auxin signal transduction and stress signaling in rice. However, the mechanism that OsCYP2 is involved in rice response to low temperature is still unclear. We identified a new OsCYP2 allelic mutant, lrl3, with fewer lateral roots, and the differences in shoot height, primary root length and adventitious root length increased with the growth process compared to the wild-type plant. Auxin signaling pathway was also affected and became insensitive to gravity. The transgenic rice plants with over-expression of OsCYP2 were… More >

  • Open Access


    Application of Silicon and Selenium in Rice for Reducing Cadmium Stress

    Mohammad Reza Boorboori, Husen Qiu, Jieyun Liu, Haiyang Zhang*

    Phyton-International Journal of Experimental Botany, Vol.92, No.6, pp. 1873-1886, 2023, DOI:10.32604/phyton.2023.027924

    Abstract Rice is an essential part of the human diet in most parts of the world; On the other hand, the industrialization of societies has led to pollution of the environment, including heavy metal contamination of soil and water, which negatively affects rice production and quality. Therefore, finding ways to increase the yield and quality of this strategic crop seems essential. Several studies have been conducted in recent decades to find effective and inexpensive solutions to reduce the adverse effects of heavy metals in rice fields. Due to the negative effect of cadmium pollution on rice quality and yield, the current… More >

  • Open Access


    Identification of Rice Leaf Disease Using Improved ShuffleNet V2

    Yang Zhou, Chunjiao Fu, Yuting Zhai, Jian Li, Ziqi Jin, Yanlei Xu*

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 4501-4517, 2023, DOI:10.32604/cmc.2023.038446

    Abstract Accurate identification of rice diseases is crucial for controlling diseases and improving rice yield. To improve the classification accuracy of rice diseases, this paper proposed a classification and identification method based on an improved ShuffleNet V2 (GE-ShuffleNet) model. Firstly, the Ghost module is used to replace the convolution in the two basic unit modules of ShuffleNet V2, and the unimportant convolution is deleted from the two basic unit modules of ShuffleNet V2. The Hardswish activation function is applied to replace the ReLU activation function to improve the identification accuracy of the model. Secondly, an effective channel attention (ECA) module is… More >

  • Open Access


    Prediction of NFT Sale Price Fluctuations on OpenSea Using Machine Learning Approaches

    Zixiong Wang, Qiuying Chen, Sang-Joon Lee*

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 2443-2459, 2023, DOI:10.32604/cmc.2023.037553

    Abstract The rapid expansion of the non-fungible token (NFT) market has attracted many investors. However, studies on the NFT price fluctuations have been relatively limited. To date, the machine learning approach has not been used to demonstrate a specific error in NFT sale price fluctuation prediction. The aim of this study was to develop a prediction model for NFT price fluctuations using the NFT trading information obtained from OpenSea, the world’s largest NFT marketplace. We used Python programs to collect data and summarized them as: NFT information, collection information, and related account information. AdaBoost and Random Forest (RF) algorithms were employed… More >

  • Open Access


    Analysis of Social Media Impact on Stock Price Movements Using Machine Learning Anomaly Detection

    Richard Cruz1, Johnson Kinyua1,*, Charles Mutigwe2

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3405-3423, 2023, DOI:10.32604/iasc.2023.035906

    Abstract The massive increase in the volume of data generated by individuals on social media microblog platforms such as Twitter and Reddit every day offers researchers unique opportunities to analyze financial markets from new perspectives. The meme stock mania of 2021 brought together stock traders and investors that were also active on social media. This mania was in good part driven by retail investors’ discussions on investment strategies that occurred on social media platforms such as Reddit during the COVID-19 lockdowns. The stock trades by these retail investors were then executed using services like Robinhood. In this paper, machine learning models… More >

  • Open Access


    Response of Contrasting Rice Genotypes to Zinc Sources under Saline Conditions

    Muhammad Jan1,*, Muhammad Anwar-Ul-Haq2, Talha Javed3, Sadam Hussain4,*, Ilyas Ahmad5, Muhammad Ashraf Sumrah6, Javed Iqbal7, Babar Hussain Babar8, Aqsa Hafeez9, Muhammad Aslam5, Muhammad Tahir Akbar10, Marjan Aziz6, Khadiga Alharbi11, Izhar Ullah12

    Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1361-1375, 2023, DOI:10.32604/phyton.2023.026620

    Abstract Abiotic stresses are among the major limiting factors for plant growth and crop productivity. Among these, salinity is one of the major risk factors for plant growth and development in arid to semi-arid regions. Cultivation of salt tolerant crop genotypes is one of the imperative approaches to meet the food demand for increasing population. The current experiment was carried out to access the performance of different rice genotypes under salinity stress and Zinc (Zn) sources. Four rice genotypes were grown in a pot experiment and were exposed to salinity stress (7 dS m−1), and Zn (15 mg kg−1 soil) was… More >

  • Open Access


    Melatonin Promotes Rice Seed Germination under Drought Stress by Regulating Antioxidant Capacity

    Luqian Zhang1,#, Xilin Fang1,#, Nan Yu1, Jun Chen1, Haodong Wang1, Quansheng Shen1, Guanghui Chen2,*, Yue Wang1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1571-1587, 2023, DOI:10.32604/phyton.2023.025481

    Abstract Drought stress is a serious threat to the germination of plant seeds and the growth of seedlings. Melatonin has been proven to play an important role in alleviating plant stress. However, its effect on seed germination under drought conditions is still poorly understood. Therefore, we studied the effects of melatonin on rice seed germination and physiological characteristics under drought stress. Rice seeds were treated with different concentrations of melatonin (i.e., 0, 20, 100, and 500 μM) and drought stress was simulated with 5% polyethylene glycol 6000 (PEG6000). The results showed that 100 μM melatonin can effectively improve the germination potential,… More >

  • Open Access


    Introgression of Drought Tolerance into Elite Basmati Rice Variety through Marker-Assisted Backcrossing

    Muhammad Sabar1,2,#, Shahzad Amir Naveed1,3,4,#,*, Shahid Masood Shah5, Abdul Rehman Khan5, Muhammad Musaddiq Shah6, Tahir Awan1, Muhammad Ramzan Khan3, Zaheer Abbas3, Muhammad Arif1,7,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1421-1438, 2023, DOI:10.32604/phyton.2023.025801

    Abstract Drought is one of the major abiotic threat to rice production in the context of climate change. Super Basmati is an elite, fine grain basmati rice variety grown in Punjab, Pakistan. Due to drought sensitive in nature, its yield has been facing an alarming situation in production because of gradual decrease in irrigated water for a couple of years. Three reported novel QTLs for drought tolerance were selected for incorporation into Super Basmati by employing marker assisted selection strategy. IR55419-04 with novel QTLs was used as a donor parent. Foreground selection was performed by applying PCR based QTL linked SSR… More >

  • Open Access


    Materials Selection of Thermoplastic Matrices of Natural Fibre Composites for Cyclist Helmet Using an Integration of DMAIC Approach in Six Sigma Method Together with Grey Relational Analysis Approach

    N. A. Maidin1,2, S. M. Sapuan1,*, M. T. Mastura2, M. Y. M. Zuhri1

    Journal of Renewable Materials, Vol.11, No.5, pp. 2381-2397, 2023, DOI:10.32604/jrm.2023.026549

    Abstract Natural fibre reinforced polymer composite (NFRPC) materials are gaining popularity in the modern world due to their eco-friendliness, lightweight nature, life-cycle superiority, biodegradability, low cost, and noble mechanical properties. Due to the wide variety of materials available that have comparable attributes and satisfy the requirements of the product design specification, material selection has become a crucial component of design for engineers. This paper discusses the study’s findings in choosing the suitable thermoplastic matrices of Natural Fibre Composites for Cyclist Helmet utilising the DMAIC, and GRA approaches. The results are based on integrating two decision methods implemented utilising two distinct decision-making… More >

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