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  • Open Access

    ARTICLE

    Steam Methane Reforming (SMR) Combined with Ship Based Carbon Capture (SBCC) for an Efficient Blue Hydrogen Production on Board Liquefied Natural Gas (LNG) Carriers

    Ikram Belmehdi1,*, Boumedienne Beladjine1, Mohamed Djermouni1, Amina Sabeur1, Mohammed El Ganaoui2

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.1, pp. 71-85, 2025, DOI:10.32604/fdmp.2024.058510 - 24 January 2025

    Abstract The objective of this study is to propose an optimal plant design for blue hydrogen production aboard a liquefied natural gas (LNG) carrier. This investigation focuses on integrating two distinct processes—steam methane reforming (SMR) and ship-based carbon capture (SBCC). The first refers to the common practice used to obtain hydrogen from methane (often derived from natural gas), where steam reacts with methane to produce hydrogen and carbon dioxide (CO2). The second refers to capturing the CO2 generated during the SMR process on board ships. By capturing and storing the carbon emissions, the process significantly reduces its… More >

  • Open Access

    ARTICLE

    Estimated Ultimate Recovery and Productivity of Deep Shale Gas Horizontal Wells

    Haijie Zhang1, Haifeng Zhao2, Ming Jiang3,*, Junwei Pu1, Yuanping Luo1, Weiming Chen1, Tongtong Luo1,4, Zhiqiang Li5, Xinan Yu6

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.1, pp. 221-232, 2025, DOI:10.32604/fdmp.2024.053496 - 24 January 2025

    Abstract Pressure control in deep shale gas horizontal wells can reduce the stress sensitivity of hydraulic fractures and improve the estimated ultimate recovery (EUR). In this study, a hydraulic fracture stress sensitivity model is proposed to characterize the effect of pressure drop rate on fracture permeability. Furthermore, a production prediction model is introduced accounting for a non-uniform hydraulic fracture conductivity distribution. The results reveal that increasing the fracture conductivity leads to a rapid daily production increase in the early stages. However, above 0.50 D·cm, a further increase in the fracture conductivity has a limited effect on More >

  • Open Access

    ARTICLE

    MCU-i4, a mitochondrial Ca2+ uniporter modulator, induces breast cancer BT474 cell death by enhancing glycolysis, ATP production and reactive oxygen species (ROS) burst

    EDMUND CHEUNG SO1,2,#, LOUIS W. C. CHOW3,#, CHIN-MIN CHUANG4, CING YU CHEN5,6, CHENG-HSUN WU7, LIAN-RU SHIAO8, TING-TSZ OU9, KAR-LOK WONG10, YUK-MAN LEUNG8,*, YI-PING HUANG8,*

    Oncology Research, Vol.33, No.2, pp. 397-406, 2025, DOI:10.32604/or.2024.052743 - 16 January 2025

    Abstract Objectives: Mitochondrial Ca2+ uniporter (MCU) provides a Ca2+ influx pathway from the cytosol into the mitochondrial matrix and a moderate mitochondrial Ca2+ rise stimulates ATP production and cell growth. MCU is highly expressed in various cancer cells including breast cancer cells, thereby increasing the capacity of mitochondrial Ca2+ uptake, ATP production, and cancer cell proliferation. The objective of this study was to examine MCU inhibition as an anti-cancer mechanism. Methods: The effects of MCU-i4, a newly developed MCU inhibitor, on cell viability, apoptosis, cytosolic Ca2+, mitochondrial Ca2+ and potential, glycolytic rate, generation of ATP, and reactive oxygen species,… More >

  • Open Access

    ARTICLE

    Genetic Diversity and Combining Ability of Developed Maize Lines to Realize Heterotic and High Yielding Hybrids for Arid Conditions

    Mohamed M. Kamara1, Fatmah A. Safhi2, Nora M. Al Aboud3, Maha Aljabri3, Samah A. Alharbi3, Hesham S. Ghazzawy4,5, Mohammed O. Alshaharni6, Eman Fayad7, Wessam F. Felemban8,9, Diaa Abd El-Moneim10, Abdallah A. Hassanin11, Imen Ben Abdelmalek12,*, Abdelraouf M. Ali13, Elsayed Mansour14,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.12, pp. 3465-3485, 2024, DOI:10.32604/phyton.2024.058628 - 31 December 2024

    Abstract Developing high-yield maize hybrids is critical for sustaining maize production, especially in the face of rapid climate changes and the growing global population. Exploring the genetic diversity and combining ability in parental inbreds is needed for developing such high-yielding hybrids. Consequently, this study aimed at evaluating parental genetic diversity employing simple sequence repeats (SSR) markers, estimating effects of general (GCA) and specific (SCA) combining abilities for grain yield and yield contributing characters, identifying high yielding hybrids, and evaluating the association of SCA effects and performance of hybrids with genetic distance. Half-diallel mating scheme was utilized… More >

  • Open Access

    REVIEW

    Lignan Enhancement: An Updated Review on the Significance of Lignan and Its Improved Production in Crop Plants

    Ragini Singh1, Noushina Iqbal1,*, Shahid Umar1,*, Sayeed Ahmad2

    Phyton-International Journal of Experimental Botany, Vol.93, No.12, pp. 3237-3271, 2024, DOI:10.32604/phyton.2024.057189 - 31 December 2024

    Abstract Lignans are a prominent group of phenolic compounds ubiquitously present in the plant kingdom, playing a critical role in both plant physiology and human health. Structurally they are characterized by the dimerization of two phenylpropane units to attain diverse chemical configurations that contribute to their wide range of biological activities. In plants, lignans function primarily as defense molecules, protecting against pathogens, herbivores, and environmental stressors. These compounds also participate in plant growth regulation and lignification processes. From a nutritional and medicinal perspective, lignans are valued for their significant health benefits. They act as phytoestrogens,… More >

  • Open Access

    ARTICLE

    Growth, Yield, Energetics, CO2 Emissions and Production Economics of Zero-Tillage Wheat as Influenced by Different Rice Residue Loads and Nutrient Management Options

    Mallepu S Likhitha Reddy1, Biplab Mitra1, Ahmed Gaber2, Akbar Hossain3,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.12, pp. 3509-3530, 2024, DOI:10.32604/phyton.2024.056789 - 31 December 2024

    Abstract The rice‒wheat farming system is considered as the greatest energy-intensive agricultural practice in South‒East Asia. In light of declining system production and profitability, burning of residues, soil erosion, depletion of renewable resources, and environmental degradation, the sustainability of the rice‒wheat cropping system is being questioned. As a result, energy and money efficient conservation agricultural methods are becoming more and more necessary to accomplish sustainable output. A field experiment was carried out in this regard to evaluate the effects of varying degrees of rice residue retention and nutrient management options on zero-tillage grown wheat growth, yield,… More >

  • Open Access

    ARTICLE

    Critical Concentration of Zinc for Increasing Production and Quality of Mangosteen Fruit in West Sumatera, Indonesia

    Martias1, Dewi Fatria2, Adha Fatmah Siregar2, Raden Heru Praptana3,*, Antonius Kasno3, Muhammad Prama Yufdy4, Riska4, Ni Luh Putu Indriyani4, Affandi4, Tri Budiyanti4, Sri Hadiati4, Ellina Mansyah4, Irwan Muas4, Jumjunidang4, Mizu Istianto4, Djoko Mulyono4, Intan Gilang Cempaka4, Triyani Dewi4, Agus Supriyo3, Bambang Nuryanto3

    Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2767-2786, 2024, DOI:10.32604/phyton.2024.055686 - 30 November 2024

    Abstract West Sumatera is one of the largest mangosteen production centers in Indonesia. After the 2019 harvest season, there were variations in fruit production and quality which indicated symptoms of zinc (Zn) deficiency. This study evaluates the status of Zn for increasing the production and quality of mangosteen fruit Ratu Kamang cv. The study was conducting using the observation method in Lima Puluh Kota, West Sumatera from January to December 2020. This study used ten mangosteen trees aged 23 years in three locations selected purposively. Parameters observed included soil properties, leaf nutrients, number of fruits; fruit,… More >

  • Open Access

    ARTICLE

    Production of Light Fraction-Based Pyrolytic Fuel from Spirulina platensis Microalgae Using Various Low-Cost Natural Catalysts and Insertion

    Indra Mamad Gandidi1,2,*, Sukarni Sukarni3,4, Avita Ayu Permanasari3, Purnami Purnami5, Tuan Amran Tuan Abdullah6, Anwar Johari6, Nugroho Agung Pambudi7,*

    Energy Engineering, Vol.121, No.12, pp. 3635-3648, 2024, DOI:10.32604/ee.2024.054943 - 22 November 2024

    Abstract The use of catalysts has significantly enhanced the yield and quality of in-situ pyrolysis products. However, there is a lack of understanding regarding pyrolysis approaches that utilize several low-cost natural catalysts (LCC) and their placement within the reactor. Therefore, this study aims to examine the effects of various LCC on the in-situ pyrolysis of spirulina platensis microalgae (SPM) and investigate the impact of different types of catalysts. We employed LCC such as zeolite, dolomite, kaolin, and activated carbon, with both layered and uniformly mixed LCC-SPM placements. Each experiment was conducted at a constant temperature of 500°C… More > Graphic Abstract

    Production of Light Fraction-Based Pyrolytic Fuel from <i>Spirulina platensis</i> Microalgae Using Various Low-Cost Natural Catalysts and Insertion

  • Open Access

    ARTICLE

    A Hybrid Deep Learning Approach for Green Energy Forecasting in Asian Countries

    Tao Yan1, Javed Rashid2,3, Muhammad Shoaib Saleem3,4, Sajjad Ahmad4, Muhammad Faheem5,*

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2685-2708, 2024, DOI:10.32604/cmc.2024.058186 - 18 November 2024

    Abstract Electricity is essential for keeping power networks balanced between supply and demand, especially since it costs a lot to store. The article talks about different deep learning methods that are used to guess how much green energy different Asian countries will produce. The main goal is to make reliable and accurate predictions that can help with the planning of new power plants to meet rising demand. There is a new deep learning model called the Green-electrical Production Ensemble (GP-Ensemble). It combines three types of neural networks: convolutional neural networks (CNNs), gated recurrent units (GRUs), and… More >

  • Open Access

    ARTICLE

    Enhancing Solar Energy Production Forecasting Using Advanced Machine Learning and Deep Learning Techniques: A Comprehensive Study on the Impact of Meteorological Data

    Nataliya Shakhovska1,2,*, Mykola Medykovskyi1, Oleksandr Gurbych1,3, Mykhailo Mamchur1,3, Mykhailo Melnyk1

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 3147-3163, 2024, DOI:10.32604/cmc.2024.056542 - 18 November 2024

    Abstract The increasing adoption of solar photovoltaic systems necessitates accurate forecasting of solar energy production to enhance grid stability, reliability, and economic benefits. This study explores advanced machine learning (ML) and deep learning (DL) techniques for predicting solar energy generation, emphasizing the significant impact of meteorological data. A comprehensive dataset, encompassing detailed weather conditions and solar energy metrics, was collected and preprocessed to improve model accuracy. Various models were developed and trained with different preprocessing stages. Finally, three datasets were prepared. A novel hour-based prediction wrapper was introduced, utilizing external sunrise and sunset data to restrict… More >

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