Husam Rashid Hudear^*, Saad Najeeb Shehab

Frontiers in Heat and Mass Transfer, Vol.21, pp. 367-383, 2023, DOI:10.32604/fhmt.2023.042639

Abstract This paper presents a numerical emulation study of heat transmission through tube banks in three-dimensions. Staggered configuration is displayed by fluid dynamics using computer programs (CFD) software (ANSYS fluent). The computer model is used to predict the values of the Nusselt number when changing the values of heat flux and longitudinal pitch. The longitudinal pitch (SL/D) of 1.3, 1.8, and 2.4 mm. The transverse pitch (ST/D) of 1.5 mm, and also considered Reynolds numbers 10000, 13000, 17000, and 190000. The staggered configuration of the tube bundle is demonstrated to investigate the impact of this arrangement on the heat transmission rate… More >

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

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 >

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

HAOSHENG ZHENG^1,#, RUIJUN LIN^2,#, WEIJIE CAI¹, YUZHEN ZHENG¹, XINGPING YANG¹, ZUI LIU¹, FEI QIN¹, YONGJIE CAI³, XIANYU QIN^1,*, HONGYING LIAO^1,*

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

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 >

Tawfeeq Shawly¹, Ahmed Alsheikhy^2,*

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 >

Tauqeer Ahmad Yasir^1,2, Muhammad Ateeq^1,3, Allah Wasaya^1,2,*, Mubshar Hussain², Naeem Sarwar², Khuram Mubeen⁴, Mudassir Aziz⁴, Muhammad Aamir Iqbal⁵, Chukwuma C. Ogbaga⁶, Ibrahim Al-Ashkar⁷, Md Atikur Rahman⁸, Ayman El Sabagh^9,10,*

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 >

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 >

Xinsen Wei¹, Ying Guo^1,2,*, 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 >