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  • Open Access

    ARTICLE

    Predicting Bitcoin Trends Through Machine Learning Using Sentiment Analysis with Technical Indicators

    Hae Sun Jung1, Seon Hong Lee1, Haein Lee1, Jang Hyun Kim2,*

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 2231-2246, 2023, DOI:10.32604/csse.2023.034466 - 09 February 2023

    Abstract Predicting Bitcoin price trends is necessary because they represent the overall trend of the cryptocurrency market. As the history of the Bitcoin market is short and price volatility is high, studies have been conducted on the factors affecting changes in Bitcoin prices. Experiments have been conducted to predict Bitcoin prices using Twitter content. However, the amount of data was limited, and prices were predicted for only a short period (less than two years). In this study, data from Reddit and LexisNexis, covering a period of more than four years, were collected. These data were utilized… More >

  • Open Access

    ARTICLE

    A Deep Learning Ensemble Method for Forecasting Daily Crude Oil Price Based on Snapshot Ensemble of Transformer Model

    Ahmed Fathalla1, Zakaria Alameer2, Mohamed Abbas3, Ahmed Ali4,5,*

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 929-950, 2023, DOI:10.32604/csse.2023.035255 - 20 January 2023

    Abstract The oil industries are an important part of a country’s economy. The crude oil’s price is influenced by a wide range of variables. Therefore, how accurately can countries predict its behavior and what predictors to employ are two main questions. In this view, we propose utilizing deep learning and ensemble learning techniques to boost crude oil’s price forecasting performance. The suggested method is based on a deep learning snapshot ensemble method of the Transformer model. To examine the superiority of the proposed model, this paper compares the proposed deep learning ensemble model against different machine More >

  • Open Access

    ARTICLE

    Price Prediction of Seasonal Items Using Time Series Analysis

    Ahmed Salah1,2, Mahmoud Bekhit3, Esraa Eldesouky4,5, Ahmed Ali4,6,*, Ahmed Fathalla7

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 445-460, 2023, DOI:10.32604/csse.2023.035254 - 20 January 2023

    Abstract The price prediction task is a well-studied problem due to its impact on the business domain. There are several research studies that have been conducted to predict the future price of items by capturing the patterns of price change, but there is very limited work to study the price prediction of seasonal goods (e.g., Christmas gifts). Seasonal items’ prices have different patterns than normal items; this can be linked to the offers and discounted prices of seasonal items. This lack of research studies motivates the current work to investigate the problem of seasonal items’ prices… More >

  • Open Access

    ARTICLE

    Lack of Tocopherol Inhibits Rice Growth by Triggering an Ectopic Stress Response and the Accumulation of DELLA Protein

    Di Wang1,#,*, Hao Gao1,#, Jian Wang1, Baoshan Cheng1, Gang Li1, Weijun Xu1, Xi Liu2,3,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1173-1183, 2023, DOI:10.32604/phyton.2023.026526 - 06 January 2023

    Abstract Although tocopherols are essential for rice development, the molecular details by which their absence affects development remain to be determined. To study how tocopherols function during rice development, we performed a transcriptome deep sequencing (RNA-seq) analysis of the rice cultivar Nipponbare (Nip) and the tocopherol-deficient mutant small grain and dwarf 1-2 (sgd1-2). We identified 563 differentially expressed genes that were enriched in Gene Ontology categories associated with metabolism, stress, cellular responses, and transcriptional regulation. We determined that the total fatty acid composition of Nip and sgd1-2 was comparable, although cell membrane penetrability in sgd1-2 was significantly higher than… More >

  • Open Access

    REVIEW

    The Genetic and Biochemical Mechanisms Underlying Cereal Seed Dormancy

    Sasa Jing1, Yuan Tian1, Heng Zhang2, John T. Hancock3, Ying Zhu2,*, Ping Li1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1203-1214, 2023, DOI:10.32604/phyton.2023.026305 - 06 January 2023

    Abstract The crop seeds have been a staple food for humans, and seed yield is important for sustaining agriculture development and enhancing human adaptability to food risks. The phenomenon of pre-harvest sprouting (PHS), caused by seed dormancy deficiency, and the phenomenon of low seedling emergence caused by seed deep dormancy, will lead to a reduction in agricultural production. Therefore, it is particularly important to understand the regulation mechanisms of seed dormancy. There are many studies on the regulation of seed dormancy in rice, but there are few studies on the regulation of seed dormancy in other More >

  • Open Access

    ARTICLE

    Effect of Rural Sewage Irrigation Regime on Water-Nitrogen Utilization and Crop Growth of Paddy Rice in Southern China

    Menghua Xiao1,*, Yuanyuan Li1,2, Shizong Zheng1

    Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1215-1233, 2023, DOI:10.32604/phyton.2023.025625 - 06 January 2023

    Abstract

    Reclaimed water irrigation has become an effective mean to alleviate the contradiction between water availability and its consumption worldwide. In this study, three types of irrigation water sources (rural sewage’s primary treated water R1 and secondary treated water R2, and river water R3) meeting the requirements of water quality for farmland irrigation were selected, and three types of irrigation water levels (low water level W1 of 0–80 mm, medium water level W2 of 0–100 mm, and high water level W3 of 0–150 mm) were adopted to carry out research on the influence mechanismS of different

    More >

  • Open Access

    ARTICLE

    Conventional Breeding and Molecular Markers for Blast Disease Resistance in Rice (Oryza sativa L.)

    Adel A. Rezk1,2, Mohamed M. El-Malky3, Hossam S. El-Beltagi1,4,*, Mohammed Al-daej1, Kotb A. Attia5,6

    Phyton-International Journal of Experimental Botany, Vol.92, No.3, pp. 725-746, 2023, DOI:10.32604/phyton.2022.024645 - 29 November 2022

    Abstract Monogenic lines, which carried 23 genes for blast resistance were tested and used donors to transfer resistance genes by crossing method. The results under blast nursery revealed that 9 genes from 23 genes were susceptible to highly susceptible under the three locations (Sakha, Gemmeza, and Zarzoura in Egypt); Pia, Pik, Pik-p, Piz-t, Pita, Pi b, Pi, Pi 19 and Pi 20. While, the genes Pii, Pik-s, Pik-h, Pi z, Piz-5, Pi sh, Pi 3, Pi 1, Pi 5, Pi 7, Pi 9, Pi 12, Pikm and Pita-2 were highly resistant at the same locations. Clustering analysis confirmed the results, which divided into two groups; the first one included all the susceptible genes,… More >

  • Open Access

    ARTICLE

    A Novel Dominant Allele from 93-11, ES(4), Represses Reactive Oxygen Species Scavenging and Leads to Early-Senescence in Rice

    Zhishu Jiang#, Cong Gan#, Yulian Liu, Xiaoli Lin, Limei Peng, Yongping Song, Xiaowei Luo, Jie Xu*

    Phyton-International Journal of Experimental Botany, Vol.92, No.3, pp. 665-677, 2023, DOI:10.32604/phyton.2023.025266 - 29 November 2022

    Abstract Senescence is the last developmental process in plant, which has an important impact on crop yield and quality. In this study, a stable hereditary early-senescence line BC64 was isolated from the high-generation recombinant inbred lines of 93-11 and Wuyunjing7 (W7). Genetic analysis showed that the premature aging phenotype was controlled by a dominant gene derived from 93-11. By linkage analysis, the gene was primarily mapped in the region between marker B4 and B5 near the centromere of chromosome 4, described as ES(4). Through multiple backcrossing with W7, the near-isogenic line of ES(4) (NIL-ES(4)) was obtained. Compared More >

  • Open Access

    ARTICLE

    Transcriptome analysis reveals potential genes associated with plant height in rice

    CAN CHEN#, RUI FENG#, ZONGQIONG ZHANG#, XIUZHONG XIA, BAOXUAN NONG, YU ZENG, HUI GUO, XINGHAI YANG*, DANTING LI*

    BIOCELL, Vol.47, No.2, pp. 409-421, 2023, DOI:10.32604/biocell.2023.023543 - 18 November 2022

    Abstract Plant height (PH) is a complex trait regulated by the environment and multiple genes. PH directly affects crop yield, harvest index, and lodging resistance. From plant dwarf mutants, many genes related to PH have been identified and described. Nonetheless, the molecular mechanism of height regulation in high-culm rice mutants has not been well studied. By using transcriptome and weighted gene co-expression network analysis (WGCNA), we identified the differentially expressed genes (DEGs) between high-culm rice mutants (MUT) and wild-type (WT) and explored the key pathways and potential candidate genes involved in PH regulation. Transcriptome analysis identified… More >

  • Open Access

    ARTICLE

    Development of a Novel Extrusion Process for Preparing Rice Straw/LLDPE Composites

    Huicheng Xu, Hao Xie, Weidong Shan, Weihong Wang*

    Journal of Renewable Materials, Vol.11, No.3, pp. 1123-1135, 2023, DOI:10.32604/jrm.2022.023959 - 31 October 2022

    Abstract Straw utilization is a key issue related to agricultural production and air pollution control. In this study, a novel extrusion process was proposed to improve the physical and mechanical properties of the straw-reinforced linear low-density polyethylene (LLDPE) composite. Instead of crushing the straw and mixing it with plastic matrix, the new method mixes straw with plastic matrix in its original form. The intact long rice straws were parallelly spread on the LLDPE film and then rolled up together into a prefabricated roll. The rolls experienced three extrusion processes as follows: (1) twin-screw melting, cooling and… More >

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