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  • Open Access

    ARTICLE

    Local Feature Extraction and Time-Series Forecasting of Crude Oil Prices Using 1D-CNN

    Thanh Tuan Nguyen1, Cuong Nguyen Dinh Hoa2,3,*

    Intelligent Automation & Soft Computing, Vol.41, pp. 1-24, 2026, DOI:10.32604/iasc.2026.078344 - 12 May 2026

    Abstract Accurate crude oil price forecasting is critical for global economic stability but remains an exceptionally challenging task due to the data’s complex, non-linear, and non-stationary nature. Deep learning models like LSTMs are widely favored. However, the dominant research trend currently focuses on increasingly complex hybrid and ensemble architectures. These models often suffer from high computational overhead, intricate tuning processes, and potential overfitting, raising critical questions about their necessity. In this paper, we challenged the assumption that complexity is required for high performance by proposing and evaluating a streamlined 1D-CNN model. We conducted a comprehensive evaluation… More >

  • Open Access

    ARTICLE

    Integrative Genome-Wide Analysis of R2R3-MYB Transcription Factors in Oryza sativa subsp. japonica Reveals Candidate Regulators of Anthocyanin Biosynthesis

    N. V. T. Jayaprada1, Muhammad Hammad2, S. Geekiyanage3, Muhammad Shafiq4, Heba I. Moamed5,*, Haiam O. Elkatry6, Mohamed El Oirdi7, Ahmed Mahmoud Ismail8, Mohamed M. El-Mogy8, Abdelrahman R. Ahmed6,*

    Phyton-International Journal of Experimental Botany, Vol.95, No.4, 2026, DOI:10.32604/phyton.2026.078307 - 28 April 2026

    Abstract Pigment biofortification in rice, particularly through enhanced anthocyanin accumulation, is increasingly recognized in Asia for its potential to improve nutritional quality and antioxidant capacity while addressing regional health challenges. However, the regulatory network underlying anthocyanin biosynthesis in rice remains incompletely characterized, especially regarding MYB transcription factors that may control pigment accumulation in diverse germplasm. In this study, a genome-wide analysis of MYB transcription factors in Oryza sativa subsp. japonica identified 109 OsMYB genes. Phylogenetic comparison with known anthocyanin regulators from Arabidopsis thaliana and Oryza rufipogon revealed conserved clades containing potential pigment-related regulators. Integrative analyses including gene structure, conserved motif identification,… 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

    Direct Application of Fresh Spent Mushroom Substrates Enhances Rice Grain Yields

    Hengdong Zhang1,2,*, Rongji Wang1,2, Jianchong Zhang1,2, Fali Zhang1,2, Zhiwang He1,2

    Phyton-International Journal of Experimental Botany, Vol.95, No.3, 2026, DOI:10.32604/phyton.2026.077976 - 31 March 2026

    Abstract Spent mushroom substrate (SMS), the residual byproduct of mushroom cultivation, represents a nutrient-rich agro-residues with potential for paddy field application. This study evaluated the effect of direct SMS application on rice yield, yield components, biomass production, and nitrogen uptake (NU), aiming to provide useful information for fresh SMS utilization in paddy. Field experiments were conducted using a split-plot design with three replications, three SMS rates (0, 9, and 18 t ha−1 dry matter) as the main plots and three nitrogen (N) (0, 90, 180 kg ha−1) as subplots in 2023 and 2024. Each plot was planted… More >

  • Open Access

    ARTICLE

    Low-Temperature Stress Effects on Germination, Antioxidant Enzyme Activity, and Gene Expression in Hybrid and Conventional Rice from Southern China

    Fen Liu1,2, Cheng Qu1,3,*, Hongliang Yuan3, Xinpeng Xiang3, Yingbo Chen3, Yuxuan Cai3, Yue Wang4,*

    Phyton-International Journal of Experimental Botany, Vol.95, No.3, 2026, DOI:10.32604/phyton.2026.077734 - 31 March 2026

    Abstract To explore the physiological mechanism of rice seeds’ tolerance to cold damage stress, the hybrid rice variety H-You 518 and the conventional rice variety Zhongjiazao 17 were used as experimental materials. A low-temperature cold damage treatment (4°C) and a normal germination treatment (25°C) were used to measure seed vitality, antioxidant enzyme activity, soluble sugar content, soluble protein content, α-amylase activity, endopeptidase, and related gene expression levels. The results showed that low temperature inhibited seed vitality and germination ability, and after restoring normal growth conditions, the activities of POD and CAT, as well as the content… More >

  • Open Access

    ARTICLE

    A Hybrid CEEMDAN-HOA-Transformer-GRU Model for Crude Oil Futures Price Forecasting

    Yibin Guo1, Lingxiao Ye1,*, Xiang Wang1, Di Wu1, Zirong Wang1, Hao Wang2

    Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2025.072163 - 27 March 2026

    Abstract Accurate forecasting of crude oil futures prices is crucial for understanding global energy market dynamics and formulating effective macroeconomic and energy strategies. However, the strong nonlinearity and multi-scale temporal characteristics of crude oil prices pose significant challenges to traditional forecasting methods. To address these issues, this study proposes a hybrid CEEMDAN–HOA–Transformer–GRU model that integrates decomposition, complexity analysis, adaptive modeling, and intelligent optimization. Specifically, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) is employed to decompose the original series into multi-scale components, after which entropy-based complexity analysis quantitatively evaluates each component. A differentiated modeling strategy… More > Graphic Abstract

    A Hybrid CEEMDAN-HOA-Transformer-GRU Model for Crude Oil Futures Price Forecasting

  • Open Access

    ARTICLE

    A Preliminary Study on Controlling Chilo suppressalis in Rice Fields Using Precision Timing and Insecticide Combinations

    Li Wang1,2, Jinfeng Zhang2, Binbin Li2, Zhengbo Pen3, Zhiyuan Yang3,*, Anshu Rastogi4,*

    Phyton-International Journal of Experimental Botany, Vol.95, No.2, 2026, DOI:10.32604/phyton.2026.075709 - 28 February 2026

    Abstract Chilo suppressalis (Walker) is one of the most important rice pests worldwide, posing a significant challenge to effective control. To develop a precision-timed, eco-friendly management strategy, overwintering population investigation and dynamic monitoring of C. suppressalis populations were conducted in the Meishan region of Sichuan, China, from 2023 to 2024. The optimal timing for insecticide application was estimated, followed by field trials evaluating the efficacy of different insecticides. Results demonstrated that the peak emergence of first-generation adults typically occurred in early July (under the environmental conditions of the Meishan region), with the ambient humidity below 75% and temperature… More >

  • Open Access

    ARTICLE

    Modeling Techno-Economic Boundaries for Undeveloped Reservoirs: Integrated Simulation-Regression Approach with Xinjiang Case Study

    Man Zhang1, Cheng Chen1, Hai-Xia Guo1, Yi-Ming Xiao1, Xin-Jian Zhao2,*

    Energy Engineering, Vol.123, No.3, 2026, DOI:10.32604/ee.2025.071943 - 27 February 2026

    Abstract Traditional oilfields face increasing extraction challenges, primarily due to reservoir quality degradation and production decline, which are further exacerbated by volatile international crude oil prices—illustrated by Brent Crude’s trajectory from pandemic-induced negative pricing to geopolitically driven surges exceeding USD 100 per barrel. This study addresses these complexities through an integrated methodological framework applied to medium-permeability sandstone reservoirs in the Xinjiang oilfield by combining advanced numerical simulations with multivariate regression analysis. The methodology employs Latin Hypercube Sampling (LHS) to stratify geological parameter distributions and constructs heterogeneous reservoir models using Petrel software, rigorously validated through historical production… More >

  • Open Access

    ARTICLE

    Biostimulatory Influence of Commercial Seaweed Extract on Seed Emergence, Seedling Growth, and Vigor of Winter Rice

    Zakia Akter1, Sumona Akter Jannat2, Sheikh Md. Shibly1, Afroza Sultana1, Amdadul Hoque Amran1, Joairia Hossain Faria1, Sabina Yeasmin1, Md. Parvez Anwar1,*

    Phyton-International Journal of Experimental Botany, Vol.95, No.1, 2026, DOI:10.32604/phyton.2026.075524 - 30 January 2026

    Abstract Seaweed extract contains plant growth regulators and bio-stimulants that enhance plant growth and development. In Bangladesh, winter rice (Boro rice) in the nursery bed often shows poor seed emergence and weak seedling growth due to low temperature. This problem can be addressed by using seaweed extract as a seed priming agent and bio-stimulant. The objective of this study was to evaluate the effectiveness of seaweed extract (Crop Plus) on seed emergence, seedling growth, and vigor of winter rice in the nursery. Two experiments were conducted at Bangladesh Agricultural University using BRRI dhan89. The laboratory experiment… More >

  • Open Access

    ARTICLE

    Spikelet Filling Characteristics in Early-Season Rice Experiencing High Temperatures during Ripening

    Jiazhou Li1,2, Mingyu Zhang1, Xing Li1,3, Fangbo Cao1,2, Jiana Chen1,2, Weiqin Wang1,2, Huabin Zheng1,2, Min Huang1,2,4,*

    Phyton-International Journal of Experimental Botany, Vol.95, No.1, 2026, DOI:10.32604/phyton.2025.075255 - 30 January 2026

    Abstract Spikelet filling characteristics in early-season rice in southern China may be distinctive due to its exposure to high temperatures during the ripening period. However, limited information is currently available on these characteristics. This study aimed to characterize spikelet filling in early-season rice and identify the key factors contributing to its improvement. Field experiments were conducted over two years (2021 and 2022) to mainly investigate the proportions of fully-filled, partially-filled, and empty spikelets, along with the biomass-fertilized spikelet ratio and harvest index, in 11 early-season rice varieties. The results revealed significant varietal variation in spikelet filling,… More >

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