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  • Open Access

    ARTICLE

    Mesenchymal stromal cells modulate unfolded protein response and preserve β-cell mass in type 1 diabetes

    SIYUAN LIU, YUAN ZHAO, YU YU, DOU YE, QIAN WANG, ZHAOYAN WANG, ZUO LUAN*

    BIOCELL, Vol.48, No.7, pp. 1115-1126, 2024, DOI:10.32604/biocell.2024.050493

    Abstract Introduction: Transplantation of mesenchymal stromal cells (MSCs) is a promising therapy for type 1 diabetes (T1D). However, whether the infused MSCs affect the endoplasmic reticulum stress or subsequent unfolded protein response in β cells remains unclear. Methods: To investigate this, we induced early-onset T1D in non-obese diabetic mice using streptozotocin. Subsequently, T1D mice were randomly assigned to receive either MSCs or phosphate-buffered saline. We observed the in vivo homing of MSCs and assessed their effectiveness by analyzing blood glucose levels, body weight, histopathology, pancreatic protein expression, and serum levels of cytokines, proinsulin, and C-peptide. Results: Infused MSCs… More > Graphic Abstract

    Mesenchymal stromal cells modulate unfolded protein response and preserve β-cell mass in type 1 diabetes

  • Open Access

    ARTICLE

    Optimization Study of Active-Passive Heating System Parameters in Village Houses in the Southern Xinjiang Province

    Xiaodan Wu1, Jie Li1,*, Yongbin Cai2, Sihui Huang1

    Energy Engineering, Vol.121, No.7, pp. 1963-1990, 2024, DOI:10.32604/ee.2024.048477

    Abstract Aiming at the problems of large energy consumption and serious pollution of winter heating existing in the rural buildings in Southern Xinjiang, a combined active-passive heating system was proposed, and the simulation software was used to optimize the parameters of the system, according to the parameters obtained from the optimization, a test platform was built and winter heating test was carried out. The simulation results showed that the thickness of the air layer of 75 mm, the total area of the vent holes of 0.24 m, and the thickness of the insulation layer of 120… More >

  • Open Access

    REVIEW

    New Problems of Boiler Corrosion after Coupling Combustion of Coal and Biomass and Anti-Corrosion Technologies

    Lei Wang1, Ziran Ma1,*, Chunlin Zhao1, Jiali Zhou1, Hongyan Wang1, Ge Li1, Ningling Zhou2

    Journal of Renewable Materials, Vol.12, No.4, pp. 799-814, 2024, DOI:10.32604/jrm.2024.047343

    Abstract This study explores the corrosion issues arising from the coupled combustion of coal and biomass and proposes potential solutions. Biomass, as a renewable energy source, offers advantages in energy-saving and carbon reduction. However, the corrosive effects of alkali metal compounds, sulfur (S) and chlorine (Cl) elements in the ash after combustion cannot be underestimated due to the high volatile content of biomass fuels. We investigate the corrosion mechanisms, as well as the transfer of Cl and alkali metal elements during this process. Comparative corrosion analyses are conducted among coal-fired boilers, pure biomass boilers and boilers… More >

  • Open Access

    ARTICLE

    A Comprehensive Analysis of the Thermo-Chemical Properties of Sudanese Biomass for Sustainable Applications

    Wadah Mohammed1,2, Zeinab Osman2, Salah Elarabi3, Bertrand Charrier1,*

    Journal of Renewable Materials, Vol.12, No.4, pp. 721-736, 2024, DOI:10.32604/jrm.2024.031050

    Abstract The chemical composition and thermal properties of natural fibers are the most critical variables that determine the overall properties of the fibers and influence their processing and use in different sustainable applications, such as their conversion into bioenergy and biocomposites. Their thermal and mechanical properties can be estimated by evaluating the content of cellulose, lignin, and other extractives in the fibers. In this research work, the chemical composition and thermal properties of three fibers, namely bagasse, kenaf bast fibers, and cotton stalks, were evaluated to assess their potential utilization in producing biocomposites and bioenergy materials.… More >

  • Open Access

    ARTICLE

    Study on the Impact of Massive Refracturing on the Fracture Network in Tight Oil Reservoir Horizontal Wells

    Jianchao Shi1,2, Yanan Zhang3, Wantao Liu1,2, Yuliang Su3,*, Jian Shi1,2

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.5, pp. 1147-1163, 2024, DOI:10.32604/fdmp.2023.044500

    Abstract Class III tight oil reservoirs have low porosity and permeability, which are often responsible for low production rates and limited recovery. Extensive repeated fracturing is a well-known technique to fix some of these issues. With such methods, existing fractures are refractured, and/or new fractures are created to facilitate communication with natural fractures. This study explored how different refracturing methods affect horizontal well fracture networks, with a special focus on morphology and related fluid flow changes. In particular, the study relied on the unconventional fracture model (UFM). The evolution of fracture morphology and flow field after More >

  • Open Access

    ARTICLE

    Synergizing Wind, Solar, and Biomass Power: Ranking Analysis of Off-Grid System for Different Weather Conditions of Iran

    Razieh Keshavarzi, Mehdi Jahangiri*

    Energy Engineering, Vol.121, No.6, pp. 1381-1401, 2024, DOI:10.32604/ee.2024.050029

    Abstract Nowadays, the use of renewable energies, especially wind, solar, and biomass, is essential as an effective solution to address global environmental and economic challenges. Therefore, the current study examines the energy-economic-environmental analysis of off-grid electricity generation systems using solar panels, wind turbines, and biomass generators in various weather conditions in Iran. Simulations over 25 years were conducted using HOMER v2.81 software, aiming to determine the potential of each region and find the lowest cost of electricity production per kWh. In the end, to identify the most suitable location, the Technique for Order Preference by Similarity… More > Graphic Abstract

    Synergizing Wind, Solar, and Biomass Power: Ranking Analysis of Off-Grid System for Different Weather Conditions of Iran

  • Open Access

    ARTICLE

    Optimal Design of Drying Process of the Potatoes with Multi-Agent Reinforced Deep Learning

    Mohammad Yaghoub Abdollahzadeh Jamalabadi*

    Frontiers in Heat and Mass Transfer, Vol.22, No.2, pp. 511-536, 2024, DOI:10.32604/fhmt.2024.051004

    Abstract Heat and mass transport through evaporation or drying processes occur in many applications such as food processing, pharmaceutical products, solar-driven vapor generation, textile design, and electronic cigarettes. In this paper, the transport of water from a fresh potato considered as a wet porous media with laminar convective dry air fluid flow governed by Darcy’s law in two-dimensional is highlighted. Governing equations of mass conservation, momentum conservation, multiphase fluid flow in porous media, heat transfer, and transport of participating fluids and gases through evaporation from liquid to gaseous phase are solved simultaneously. In this model, the… More >

  • Open Access

    ARTICLE

    A Deep Learning Framework for Mass-Forming Chronic Pancreatitis and Pancreatic Ductal Adenocarcinoma Classification Based on Magnetic Resonance Imaging

    Luda Chen1, Kuangzhu Bao2, Ying Chen2, Jingang Hao2,*, Jianfeng He1,3,*

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 409-427, 2024, DOI:10.32604/cmc.2024.048507

    Abstract Pancreatic diseases, including mass-forming chronic pancreatitis (MFCP) and pancreatic ductal adenocarcinoma (PDAC), present with similar imaging features, leading to diagnostic complexities. Deep Learning (DL) methods have been shown to perform well on diagnostic tasks. Existing DL pancreatic lesion diagnosis studies based on Magnetic Resonance Imaging (MRI) utilize the prior information to guide models to focus on the lesion region. However, over-reliance on prior information may ignore the background information that is helpful for diagnosis. This study verifies the diagnostic significance of the background information using a clinical dataset. Consequently, the Prior Difference Guidance Network (PDGNet)… More >

  • Open Access

    ARTICLE

    Matrix Assisted Laser Desorption Ionization Time of Flight (MALDI-TOF)-Mass Spectrometry and 13C-NMR-Identified New Compounds in Paraberlinia bifoliolata (Ekop-Beli) Bark Tannins

    Liliane Nga1, Benoit Ndiwe1,2, Achille Bernard Biwolé1, Antonio Pizzi3,*, Jean Jalin Eyinga Biwole1, Joseph Zobo Mfomo1

    Journal of Renewable Materials, Vol.12, No.3, pp. 553-568, 2024, DOI:10.32604/jrm.2023.046568

    Abstract Extracts of plant origin, particularly tannins, are attracting growing interest for the sustainable development of materials in the industrial sector. The discovery of new tannins is therefore necessary. The aim of this work was to contribute to the understanding of the properties of Paraberlinia bifoliolata tannin by Matrix Assisted Laser Desorption Ionization Time of Flight Mass Spectroscopy MALDI-TOF/MS and Carbon 13 Nuclear Magnetic Resonance (13C NMR). The chemical composition of tannin extracted from Paraberlinia bifoliolata bark was determined, as was the mechanical strength of the resin hardened with Acacia nilotica extracts. Yield by successive water extraction was 35%. MALDI-TOF/MS… More >

  • Open Access

    ARTICLE

    Unraveling the Rheology of Nanocellulose Aqueous Suspensions: A Comprehensive Study on Biomass-Derived Nanofibrillated Cellulose

    Mingyue Miao1,#, Fei Wang1,#, Qing Li1, Longchen Tao1, Chenchen Dai1, Yu Liu1, Shujuan Han1, Wenshuai Chen1,*, Ping Lu2,*

    Journal of Renewable Materials, Vol.12, No.3, pp. 443-455, 2024, DOI:10.32604/jrm.2023.030412

    Abstract The rheological properties of nanocellulose aqueous suspensions play a critical role in the development of nanocellulose-based bulk materials. High-crystalline, high-aspect ratio, and slender nanofibrillated cellulose (NFC) were extracted from four biomass resources. The cellulose nanofibrils and nanofibril bundles formed inter-connected networks in the NFC aqueous suspensions. The storage moduli of the suspensions with different concentrations were higher than their corresponding loss moduli. As the concentration increased, the storage and loss modulus of NFC dispersion increased. When the shear rate increased to a certain value, there were differences in the changing trend of the rheological behavior More > Graphic Abstract

    Unraveling the Rheology of Nanocellulose Aqueous Suspensions: A Comprehensive Study on Biomass-Derived Nanofibrillated Cellulose

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