Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (322)
  • 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

    Stochastic Augmented-Based Dual-Teaching for Semi-Supervised Medical Image Segmentation

    Hengyang Liu1, Yang Yuan1,*, Pengcheng Ren1, Chengyun Song1, Fen Luo2

    CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 543-560, 2025, DOI:10.32604/cmc.2024.056478 - 03 January 2025

    Abstract Existing semi-supervised medical image segmentation algorithms use copy-paste data augmentation to correct the labeled-unlabeled data distribution mismatch. However, current copy-paste methods have three limitations: (1) training the model solely with copy-paste mixed pictures from labeled and unlabeled input loses a lot of labeled information; (2) low-quality pseudo-labels can cause confirmation bias in pseudo-supervised learning on unlabeled data; (3) the segmentation performance in low-contrast and local regions is less than optimal. We design a Stochastic Augmentation-Based Dual-Teaching Auxiliary Training Strategy (SADT), which enhances feature diversity and learns high-quality features to overcome these problems. To be more… More >

  • Open Access

    ARTICLE

    Long noncoding RNA LINC01106 promotes lung adenocarcinoma progression via upregulation of autophagy

    GENGYUN SUN1,*, YIPING ZHENG1,2, JIANFENG CAI2, JIE GAO2, LIE DONG2, XIANGBIN ZHANG2, YINGHUI HUANG2,*

    Oncology Research, Vol.33, No.1, pp. 171-184, 2025, DOI:10.32604/or.2024.047626 - 20 December 2024

    Abstract Background: Long noncoding RNA, LINC01106 exhibits high expression in lung adenocarcinoma (LUAD) tumor tissues, but its functional role and regulatory mechanism in LUAD cells remain unclear. Methods: LINC01106 expression was analyzed in LUAD tissues and its functional impact on LUAD cells was assessed. LUAD cells were silenced with sh-LINC01106 and injected into nude mice to investigate tumor growth. The downstream transcription factors and molecular mechanism were determined using the Human transcription factor database (TFDB) database and Gene Expression Profiling Interactive Analysis (GEPIA) database. Additionally, the impact of linc01106 on autophagy was analyzed by determining the… More > Graphic Abstract

    Long noncoding RNA LINC01106 promotes lung adenocarcinoma progression via upregulation of autophagy

  • Open Access

    ARTICLE

    Ubiquitin-specific protease 1 facilitates tumor immune escape from natural killer cells and predicts the prognosis in small cell lung cancer

    SHIQIN JIANG1,#, YICHUN TANG2,#, FENG MA3, YUCHUN NIU4,*, LEI SUN5,*

    Oncology Research, Vol.33, No.1, pp. 213-224, 2025, DOI:10.32604/or.2024.046895 - 20 December 2024

    Abstract Objective: Small cell lung cancer (SCLC) is commonly recognized as the most fatal lung cancer type. Despite substantial advances in immune checkpoint blockade therapies for treating solid cancers, their benefits are limited to a minority of patients with SCLC. In the present study, novel indicators for predicting the outcomes and molecular targets for SCLC treatment were elucidated. Methods: We conducted bioinformatics analysis to identify the key genes associated with tumor-infiltrating lymphocytes in SCLC. The functional role of the key gene identified in SCLC was determined both in vitro and in vivo. Results: A significant correlation was observed between… More >

  • Open Access

    ARTICLE

    Characterization and Genetic Diversity of Tea (Camellia sinensis (L.) O. Kuntze) Genotypes for Waterlogging Tolerance

    Md. Riyadh Arefin1,2, Md. Sabibul Haque1, A. K. M. Golam Sarwar1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.12, pp. 3411-3442, 2024, DOI:10.32604/phyton.2024.058893 - 31 December 2024

    Abstract Tea estates in Bangladesh are currently experiencing frequent waterlogging stress due to heavy rainfall or flooding under changing climate scenarios. The development of waterlogging-tolerant tea cultivars is, therefore, crucial for sustainable tea production with increased yield in waterlogging-affected areas. In this study, a total of two hundred tea genotypes were screened for waterlogging tolerance based on yield and quality potentials. Tea genotypes were raised at the nursery and evaluated with 13 traits at the seedling and mature stages. Descriptive and multivariate analysis of the recorded data of measured traits were performed for clustering the… More >

  • Open Access

    ARTICLE

    Uncovering the Mediating Role of Teacher Anxiety on the Relationship between Teacher Self-Efficacy and Teacher Work Engagement in the Online Context

    Honggang Liu1, Xiaobing Lu2,*, Bin Chen1, Xu Wang1, Miaoyue Xia3,4,*

    International Journal of Mental Health Promotion, Vol.26, No.12, pp. 997-1007, 2024, DOI:10.32604/ijmhp.2024.057771 - 31 December 2024

    Abstract Background: With the widespread adoption of synchronous online instruction, concerns have arisen regarding teachers’ professional functioning in this new context. While previous studies have extensively explored teacher psychology, the control-value theory (CVT) provides additional insights into teachers’ experiences. As limited research has specifically addressed the psychological experiences of primary school teachers in online teaching settings, this study investigated the relationships among teachers’ online self-efficacy, anxiety, and engagement through the CVT framework. Methods: This study employed a quantitative research design, conducting a questionnaire survey of 1037 Chinese primary school teachers recruited through convenience and snowball sampling.… More >

  • Open Access

    ARTICLE

    An Improved YOLOv8-Based Method for Real-Time Detection of Harmful Tea Leaves in Complex Backgrounds

    Xin Leng#, Jiakai Chen#, Jianping Huang*, Lei Zhang, Zongxuan Li

    Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2963-2981, 2024, DOI:10.32604/phyton.2024.057166 - 30 November 2024

    Abstract Tea, a globally cultivated crop renowned for its unique flavor profile and health-promoting properties, ranks among the most favored functional beverages worldwide. However, diseases severely jeopardize the production and quality of tea leaves, leading to significant economic losses. While early and accurate identification coupled with the removal of infected leaves can mitigate widespread infection, manual leaves removal remains time-consuming and expensive. Utilizing robots for pruning can significantly enhance efficiency and reduce costs. However, the accuracy of object detection directly impacts the overall efficiency of pruning robots. In complex tea plantation environments, complex image backgrounds, the… More >

  • Open Access

    ARTICLE

    Thermodynamic, Economic, and Environmental Analyses and Multi-Objective Optimization of Dual-Pressure Organic Rankine Cycle System with Dual-Stage Ejector

    Guowei Li1,*, Shujuan Bu2, Xinle Yang2, Kaijie Liang1, Zhengri Shao1, Xiaobei Song1, Yitian Tang3, Dejing Zong4

    Energy Engineering, Vol.121, No.12, pp. 3843-3874, 2024, DOI:10.32604/ee.2024.056195 - 22 November 2024

    Abstract A novel dual-pressure organic Rankine cycle system (DPORC) with a dual-stage ejector (DE-DPORC) is proposed. The system incorporates a dual-stage ejector that utilizes a small amount of extraction steam from the high-pressure expander to pressurize a large quantity of exhaust gas to perform work for the low-pressure expander. This innovative approach addresses condensing pressure limitations, reduces power consumption during pressurization, minimizes heat loss, and enhances the utilization efficiency of waste heat steam. A thermodynamic model is developed with net output work, thermal efficiency, and exergy efficiency (Wnet, ηt, ηex) as evaluation criteria, an economic model is established… More >

  • Open Access

    PROCEEDINGS

    Accelerating Convergence in Simulating Steady Flows Across All Regimes Using the Improved Discrete Velocity Method with Inner Iteration

    Liming Yang1,*, Linchang Han1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.010890

    Abstract This work introduces an efficient improved discrete velocity method (IDVM) with inner iteration for simulating steady flows across all flow regimes. Building upon our prior implicit IDVM, this extension achieves a significantly enhanced convergence rate. In the previous method, simultaneous solution of the discrete velocity Boltzmann equation (DVBE) and corresponding macroscopic governing equations was performed. However, the computational cost was primarily driven by the DVBE calculations due to the substantial difference in the number of discrete distribution functions compared to macroscopic conservative variables. Additionally, the convergence rate was influenced by the predicted equilibrium state derived… More >

  • Open Access

    ARTICLE

    Unsteady Flow of Hybrid Nanofluid with Magnetohydrodynamics-Radiation-Natural Convection Effects in a U-Shaped Wavy Porous Cavity

    Taher Armaghani1, Lioua Kolsi2, Najiyah Safwa Khashi’ie3,*, Ahmed Muhammed Rashad4, Muhammed Ahmed Mansour5, Taha Salah6, Aboulbaba Eladeb7

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 2225-2251, 2024, DOI:10.32604/cmes.2024.056676 - 31 October 2024

    Abstract In this paper, the unsteady magnetohydrodynamic (MHD)-radiation-natural convection of a hybrid nanofluid within a U-shaped wavy porous cavity is investigated. This problem has relevant applications in optimizing thermal management systems in electronic devices, solar energy collectors, and other industrial applications where efficient heat transfer is very important. The study is based on the application of a numerical approach using the Finite Difference Method (FDM) for the resolution of the governing equations, which incorporates the Rosseland approximation for thermal radiation and the Darcy-Brinkman-Forchheimer model for porous media. It was found that the increase of Hartmann number… More >

Displaying 1-10 on page 1 of 322. Per Page