Mallepu S Likhitha Reddy¹, Biplab Mitra¹, Ahmed Gaber², Akbar Hossain^3,*

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 >

Martias¹, Dewi Fatria², Adha Fatmah Siregar², Raden Heru Praptana^3,*, 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 >

Indra Mamad Gandidi^1,2,*, Sukarni Sukarni^3,4, Avita Ayu Permanasari³, Purnami Purnami⁵, Tuan Amran Tuan Abdullah⁶, Anwar Johari⁶, Nugroho Agung Pambudi^7,*

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

Tao Yan¹, Javed Rashid^2,3, Muhammad Shoaib Saleem^3,4, Sajjad Ahmad⁴, Muhammad Faheem^5,*

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 >

Nataliya Shakhovska^1,2,*, Mykola Medykovskyi¹, Oleksandr Gurbych^1,3, Mykhailo Mamchur^1,3, 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 >

Junrong Wang^1,2,*, Kuang He¹, Botao Xie³, Chunlei He¹, Wenbin Wu^1,2

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011711

Abstract Internal solitary waves (ISWs) a serious threat to moored floating structures in deep water, especially in South China Sea. On predicating dynamic response of a moored structure subjected to ISWs, previous researchers directly apply the pre-calculated ISW loading to the structure, which ignores the coupling effects between the structure and the ISW. To address this issue, this paper develops a coupled dynamic analysis model for moored structures, where the determination of ISW loading considers the effects of dynamic responses of floating structures. This model can simulate the action of various loading components on the floating… More >

Xingbin Zhao¹, Neng Yang², Hao Liang³, Mingqiang Wei^2,*, Benteng Ma², Dongling Qiu²

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.11, pp. 2523-2540, 2024, DOI:10.32604/fdmp.2024.052766 - 28 October 2024

Abstract The transient flow testing of ultra-deepwater gas wells is greatly impacted by the low temperatures of seawater encountered over extended distances. This leads to a redistribution of temperature within the wellbore, which in turn influences the flow behavior. To accurately predict such a temperature distribution, in this study a comprehensive model of the flowing temperature and pressure fields is developed. This model is based on principles of fluid mechanics, heat transfer, mass conservation, and energy conservation and relies on the Runge-Kutta method for accurate integration in time of the resulting equations. The analysis includes the… More >

Saeed Ismaeilimoghadam^1,*, Saeed Mahdavi¹, Mehdi Pourhashemi², Afsaneh Shahraki³, Mehdi Jonoobi^4,*

Journal of Renewable Materials, Vol.12, No.10, pp. 1771-1789, 2024, DOI:10.32604/jrm.2024.054888 - 23 October 2024

Abstract This research aimed to investigate the effect of pulping conditions and refining intensities of wheat straw to be recommended for fluff pulp production. For this purpose, mono ethanol amine (MEA) was selected as a de-lignification agent at three levels of 50:50, 25:75, and 15:85 (MEA/water, W/V %), and soda-AQ 14 W/V % was used as a reference pulping. To investigate the optimal refining intensity, the obtained pulp was passed through a single disk laboratory refiner from 0 to 6 times and in two different consistencies (1.5 and 2.5 W/V %). Total yield, kappa number, ash… More > Graphic Abstract

Peyman Ahmadi^1,*, Davood Efhamisisi^1,*, Marie-France Thévenon^2,3, Hamid Zarea Hosseinabadi¹, Reza Oladi¹, Jean Gerard^2,3

Journal of Renewable Materials, Vol.12, No.10, pp. 1715-1728, 2024, DOI:10.32604/jrm.2024.054076 - 23 October 2024

Abstract Sugarcane bagasse is an agro-waste that could replace timber resources for the production of bio-composites. Composite boards such as particleboard offer an issue for the use and recycling of poor quality timber, and these engineered products can overcome some solid wood limitations such as heterogeneity and dimension. Bagasse offers an alternative to wood chips for particleboard production but present some disadvantages as well, such as poor physico-mechanical properties. To address these issues, bagasse fibers were treated with an innovative natural resin formulated with tannin and furfural. Impregnated particles with different concentrations of resin (5%, 10%,… More > Graphic Abstract

Zhenjiang Zhao¹, Lei Jiang¹, Ling Bai^2,*, Bo Pan³, Ling Zhou^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1111-1136, 2024, DOI:10.32604/cmes.2024.055399 - 27 September 2024

Abstract The fluid’s viscosity significantly affects the performance of a centrifugal pump. The entropy production method and leakage are employed to analyze the performance changes under various viscosities by numerical simulation and validated by experiments. The results showed that increasing viscosity reduces both the pump head and efficiency. In addition, the optimal operating point shifts to the left. Leakage is influenced by vortex distribution in the front chamber and boundary layer thickness in wear-ring clearance, leading to an initial increase and subsequent decrease in leakage with increasing viscosity. The total entropy production inside the pump rises More >