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  • Open Access

    ARTICLE

    Optimal Design of Porous Media in Solar Vapor Generators by Carbon Fiber Bundles

    Mohammad Yaghoub Abdollahzadeh Jamalabadi, Jinxiang Xi*

    Frontiers in Heat and Mass Transfer, Vol.21, pp. 65-79, 2023, DOI:10.32604/fhmt.2023.042613

    Abstract As a means of harvesting solar energy for water treatment, solar-driven vapor generation is becoming more appealing. Due to their entangled fibrous networks and high surface area, fibers can be used as building blocks to generate water vapor. In this paper, using a two-dimensional fiber bundle model, we studied the generation of solar vapor based on the fiber height, distance between fibers, and input sun radiation. The performance of solar absorption system was also evaluated by evaluating thermal and water management. Results showed a constant increase in solar vapor generation with an increasing fiber height and decreasing inter-fiber distance. However,… More > Graphic Abstract

    Optimal Design of Porous Media in Solar Vapor Generators by Carbon Fiber Bundles

  • Open Access

    ARTICLE

    Numerical Investigations on Effects of Physical Parameters on Single Bubble Generation from Capillary Needles in Newtonian Liquids

    Meng Jia, Mingjun Pang*

    Frontiers in Heat and Mass Transfer, Vol.21, pp. 337-366, 2023, DOI:10.32604/fhmt.2023.044286

    Abstract The interphase mass, heat transfer efficiency, and flow resistance are strongly dependent on bubble size in gasliquid two-phase systems, so it is very important for engineering applications to effectively control bubble size. In this paper, the formation, growth, and detachment of single bubbles in Newtonian liquids based on capillary needles were studied in detail using a volume of fluid method. The authors investigated the effects of gas injection velocity, gravitational level, surface tension coefficient, needle radius, and liquid−phase properties (liquid viscosity and density) on the process of bubble generation, and the effects of the above factors on bubble shape, detachment… More >

  • Open Access

    REVIEW

    High density lipoprotein as a therapeutic target: Focus on its functionality

    LEONARDO GóMEZ ROSSO, BELéN DAVICO, EZEQUIEL LOZANO CHIAPPE, WALTER TETZLAFF, LAURA BOERO, FERNANDO BRITES, MAXIMILIANO MARTíN*

    BIOCELL, Vol.47, No.11, pp. 2361-2383, 2023, DOI:10.32604/biocell.2023.031063

    Abstract Cardiovascular diseases (CVDs) are the leading cause of death globally. CVDs are a group of disorders of the heart and blood vessels and include coronary heart disease, cerebrovascular disease and rheumatic heart disease among other conditions. There are multiple independent risk factors for CVD, including hypertension, age, smoking, insulin resistance, elevated low-density lipoprotein cholesterol (LDL-C) levels, and triglyceride levels. LDL-C levels have traditionally been the target for therapies aimed at reducing CVD risk. High density lipoprotein (HDL) constitutes the only lipoprotein fraction with atheroprotective functions. Early HDL-targeted therapies have focused on increasing HDL-C levels. However, clinical trials have shown that… More > Graphic Abstract

    High density lipoprotein as a therapeutic target: Focus on its functionality

  • Open Access

    ARTICLE

    Analysis of functional hub genes indicates DLGAP5 is linked to lung adenocarcinoma prognosis

    HAOSHENG ZHENG1,#, RUIJUN LIN2,#, WEIJIE CAI1, YUZHEN ZHENG1, XINGPING YANG1, ZUI LIU1, FEI QIN1, YONGJIE CAI3, XIANYU QIN1,*, HONGYING LIAO1,*

    BIOCELL, Vol.47, No.11, pp. 2453-2469, 2023, DOI:10.32604/biocell.2023.030032

    Abstract Introduction: The difficulty in treating lung adenocarcinoma (LUAD) is caused by a shortage of knowledge about the biological mechanisms and a lack of treatment choices. Objectives: The aim of this study was to identify a valuable molecular target for the treatment of LUAD. Methods: Using multiple databases, we screened for hub genes in LUAD using Cytoscape and explored the expression and prognosis of DLG associated protein 5 (DLGAP5) in LUAD. We investigated the genetic variation, functional enrichment, and epigenetic activity of DLGAP5. Furthermore, we evaluated the relationship between the tumor microenvironment (TME) and DLGAP5. Results: Our study identified 10 hub… More > Graphic Abstract

    Analysis of functional hub genes indicates DLGAP5 is linked to lung adenocarcinoma prognosis

  • Open Access

    ARTICLE

    Research on Human-Vehicle-Road Friendliness Based on Improved SH-GH-ADD Control

    Yangyang Bao, Mingliang Yang, Haibo Huang, Liyuan Liu, Honglin Zhu, Weiping Ding*

    Sound & Vibration, Vol.57, pp. 45-68, 2023, DOI:10.32604/sv.2023.043279

    Abstract The hub-driven virtual rail train is a novel urban transportation system that amalgamates the benefits of modern trams and buses. However, this system is plagued by issues such as decreased ride comfort and severe deformation of urban roads due to the increase in sprung mass and long-term rolling at the same position. To address these concerns and improve the human-vehicle-road friendliness of the virtual rail train, we propose an Improved Sky-Ground Hook and Acceleration-Driven Damper control (Improved SH-GH-ADD control) strategy for the semi-active suspension system. This control monitors the vibration acceleration signal of the unsprung mass in real-time and selects… More >

  • Open Access

    ARTICLE

    Classification of Brain Tumors Using Hybrid Feature Extraction Based on Modified Deep Learning Techniques

    Tawfeeq Shawly1, Ahmed Alsheikhy2,*

    CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 425-443, 2023, DOI:10.32604/cmc.2023.040561

    Abstract According to the World Health Organization (WHO), Brain Tumors (BrT) have a high rate of mortality across the world. The mortality rate, however, decreases with early diagnosis. Brain images, Computed Tomography (CT) scans, Magnetic Resonance Imaging scans (MRIs), segmentation, analysis, and evaluation make up the critical tools and steps used to diagnose brain cancer in its early stages. For physicians, diagnosis can be challenging and time-consuming, especially for those with little expertise. As technology advances, Artificial Intelligence (AI) has been used in various domains as a diagnostic tool and offers promising outcomes. Deep-learning techniques are especially useful and have achieved… More >

  • Open Access

    ARTICLE

    Seed Priming and Foliar Supplementation with β-aminobutyric Acid Alleviates Drought Stress through Mitigation of Oxidative Stress and Enhancement of Antioxidant Defense in Linseed (Linum usitatissimum L.)

    Tauqeer Ahmad Yasir1,2, Muhammad Ateeq1,3, Allah Wasaya1,2,*, Mubshar Hussain2, Naeem Sarwar2, Khuram Mubeen4, Mudassir Aziz4, Muhammad Aamir Iqbal5, Chukwuma C. Ogbaga6, Ibrahim Al-Ashkar7, Md Atikur Rahman8, Ayman El Sabagh9,10,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.11, pp. 3113-3131, 2023, DOI:10.32604/phyton.2023.029502

    Abstract Drought is one of the critical limitations to agricultural soils and crop plants. Scarcity of water is increasing due to climate change that lead to increasing threats to global food security. Therefore, ecofriendly and cost effective strategies are highly desirable for mitigating drought stress along with sustainable and smart agricultural production. The aim of the study was to mitigate DS using seed priming and exogenous supplementation of β-aminobutyric acid (BABA) in linseed (Linum usitatissimum L.). Different doses (0, 50, 100 and 150 µM) of BABA were used for seed priming agent and foliar spraying under three soil moisture levels viz.,… More >

  • Open Access

    ARTICLE

    Decentralized Heterogeneous Federal Distillation Learning Based on Blockchain

    Hong Zhu*, Lisha Gao, Yitian Sha, Nan Xiang, Yue Wu, Shuo Han

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3363-3377, 2023, DOI:10.32604/cmc.2023.040731

    Abstract Load forecasting is a crucial aspect of intelligent Virtual Power Plant (VPP) management and a means of balancing the relationship between distributed power grids and traditional power grids. However, due to the continuous emergence of power consumption peaks, the power supply quality of the power grid cannot be guaranteed. Therefore, an intelligent calculation method is required to effectively predict the load, enabling better power grid dispatching and ensuring the stable operation of the power grid. This paper proposes a decentralized heterogeneous federated distillation learning algorithm (DHFDL) to promote trusted federated learning (FL) between different federates in the blockchain. The algorithm… More >

  • Open Access

    REVIEW

    Reconstruction of the Hindlimb Locomotion of Confuciusornis (Aves) and Its Implication for the Origin of Avian Flight

    Xinsen Wei1, Ying Guo1,2,*, Yan Zhao1

    Molecular & Cellular Biomechanics, Vol.20, No.2, pp. 49-61, 2023, DOI:10.32604/mcb.2023.041173

    Abstract As one of the most basal avian clades, the Confuciusornithids are ideal in revealing the early evolution of avian flight. Birds’ hindlimbs are functionally diverse and contain a wealth of information about their behavior. The hindlimb of Confuciusornis, however, has only been studied in detail in terms of functional morphology, and quantitative studies that directly assess locomotor ability are relatively lacking. This has led to certain controversies on the behavior of Confuciusornis. This paper reviews the debates over the life habits and take-off ability of Confuciusornis, which are closely related to their hindlimb function. Several methodologies adopted engineering techniques, including… More >

  • Open Access

    ARTICLE

    Effects of Root Cutting on Morphological Characteristics and Endogenous Hormone Levels of Quercus variabilis Seedlings

    Ruoyi Ni#, Hao Dou#, Shuwen Bi, Tiantian Wang, Jin’e Quan*, Xitian Yang*

    Phyton-International Journal of Experimental Botany, Vol.92, No.10, pp. 2907-2920, 2023, DOI:10.32604/phyton.2023.030689

    Abstract The objective of this study was to investigate the effects of root cutting stress on the dynamic changes of endogenous hormone content and growth characteristics of Quercus variabilis roots, and to explore the physiological role of endogenous hormones in regulating root-crown interactions in the short term. The morphological characteristics and endogenous hormone contents of normal roots (no root cutting, CK) and cut roots (cut by 1/3 of the length of the main root, RP) were determined by liquid chromatography, which was combined with mass spectrometry at different levels of different developmental stages. The results showed that the root growth indexes… More >

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