Zeki Kara^1,#, Dilek Koç^1,#, Osman Doğan¹, Turhan Yilmaz^2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.6, pp. 1827-1840, 2025, DOI:10.32604/phyton.2025.065702 - 27 June 2025

Abstract The reproduction of grapevine genotypes, one of the most important species in the world, while preserving their genetic characteristics, is practically done by rooting cuttings. Adventive rooting of cutting studies for seedling production in nursery conditions often remain below the expected productivity level due to biotic and abiotic stress-related reasons. Studies to increase nursery yields are still on the agenda of grapevine researchers. In this study, the effects of silver nanoparticles (AgNPs) produced by the green synthesis method using grape seed extract and AgNO₃ on rooting and vegetative growth of the standard (TS 4027) cuttings taken… More >

Yuyao Li¹, Mingmin He¹, Mingjie Cai¹, Shiqian Xu^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.4, pp. 799-817, 2025, DOI:10.32604/fdmp.2025.062862 - 06 May 2025

Abstract In ultra-deep and large well sections, high collapse stresses and diminished annular return velocity present significant challenges to wellbore cleaning. With increasing depth, rising temperature and pressure constrain the regulation of displacement and drilling fluid rheology, impairing the fluid’s capacity to transport cuttings effectively. A precise understanding of cuttings settlement behavior and terminal velocity is therefore essential for optimizing their removal. This study accounts for variations in wellbore temperature and pressure, incorporates non-spherical cuttings and wellbore diameter parameters, and develops accordingly a simplified model to predict terminal settlement velocity. The cuttings carrying ratio is introduced… More > Graphic Abstract

Chang Liu^1,3, Chengcheng Yin¹, Jinjin Zhang², Haijun Sun^1,3,*

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 695-707, 2025, DOI:10.32604/phyton.2025.061790 - 31 March 2025

Abstract To promote the growth of cutting seeding of poplar (Populus L.), nitrogen (N) fertilizer and surface weed managements were required. We here conducted a pot experiment to examine the effects of natural vegetation, barnyardgrass (Echinochloa Beauv.), and sesbania (Sesbania cannabina pers.) on the growth of poplar cutting seedlings, soil properties, and ammonia (NH₃) volatilization under three N inputs (0, 0.5, and 1.5 g/pot, i.e., N0, N0.5, and N1, respectively). Results showed that N application promoted the growth of poplar cutting seedlings, including plant height, ground diameter, and biomass, compared with N0 treatment. Moreover, under N0, sesbania significantly increased… More >

Tianpeng Li^1,*, Yujun Duan², Qianghu Ji³

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.3, pp. 623-644, 2025, DOI:10.32604/fdmp.2024.053862 - 01 April 2025

Abstract A centrifugal pump with a specific speed n_s = 67 is considered in this study to investigate the impact of blade cutting (at the outlet edge) on the fluid-induced noise, while keeping all the other geometric parameters unchanged. The required unsteady numerical calculations are conducted by applying the RNG k-ε turbulence model with the volute dipole being used as the sound source. The results indicate that the internal pressure energy of the centrifugal pump essentially depends on the blade passing frequency and its low-frequency harmonic frequency. Moreover, the pressure pulsation distribution directly affects the noise caused More >

Lixiang Wang¹, Longfei Wen^2,3, Rong Tian^2,3,*, Chun Feng^1,4,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.011137

Abstract The extended finite element method (XFEM) has been successful in crack analysis but faces challenges in modeling multiple cracks. One challenge is the linear dependence and ill-conditioning of the global stiffness matrix, while another is the geometric description for multiple cracks. To address the first challenge, the Improved XFEM (IXFEM) [1–9] is extended to handle multiple crack problems, effectively eliminating issues of linear dependence and ill-conditioning. Additionally, to overcome the second challenge, a novel level set templated cover cutting method (LSTCCM) [10] is proposed, which combines the advantages of the level set method and cover More >

Jin Zhou, Minjie Shao^*, Ye Tian, Qi Xia^*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1327-1345, 2024, DOI:10.32604/cmes.2024.054059 - 27 September 2024

Abstract By analyzing the results of compliance minimization of thermoelastic structures, we observed that microstructures play an important role in this optimization problem. Then, we propose to use a multiple variable cutting (M–VCUT) level set-based model of microstructures to solve the concurrent two–scale topology optimization of thermoelastic structures. A microstructure is obtained by combining multiple virtual microstructures that are derived respectively from multiple microstructure prototypes, thus giving more diversity of microstructure and more flexibility in design optimization. The effective mechanical properties of microstructures are computed in an off-line phase by using the homogenization method, and then More >

Yehao Long, Jing Zhong^*, Tongdi Zhang, Li Chen, Lijun Zhang^*

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 3435-3453, 2024, DOI:10.32604/cmc.2024.051629 - 20 June 2024

Abstract Physical Vapor Deposited (PVD) TiAlN coatings are extensively utilized as protective layers for cutting tools, renowned for their excellent comprehensive performance. To optimize quality control of TiAlN coatings for cutting tools, a multi-scale simulation approach is proposed that encompasses the microstructure evolution of coatings considering the entire preparation and service lifecycle of PVD TiAlN coatings. This scheme employs phase-field simulation to capture the essential microstructure of the PVD-prepared TiAlN coatings. Moreover, cutting simulation is used to determine the service temperature experienced during cutting processes at varying rates. Cahn-Hilliard modeling is finally utilized to consume the More >

Iftikhar Naseer^1,2, Tehreem Masood^1,2, Sheeraz Akram^3,*, Zulfiqar Ali⁴, Awais Ahmad³, Shafiq Ur Rehman³, Arfan Jaffar^1,2

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4963-4977, 2024, DOI:10.32604/cmc.2024.050204 - 20 June 2024

Abstract Lung cancer is a leading cause of global mortality rates. Early detection of pulmonary tumors can significantly enhance the survival rate of patients. Recently, various Computer-Aided Diagnostic (CAD) methods have been developed to enhance the detection of pulmonary nodules with high accuracy. Nevertheless, the existing methodologies cannot obtain a high level of specificity and sensitivity. The present study introduces a novel model for Lung Cancer Segmentation and Classification (LCSC), which incorporates two improved architectures, namely the improved U-Net architecture and the improved AlexNet architecture. The LCSC model comprises two distinct stages. The first stage involves… More >

Le Zou¹, Linsong Hu¹, Yifan Wang¹, Zhize Wu², Xiaofeng Wang^1,*

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 927-941, 2024, DOI:10.32604/cmc.2024.048889 - 25 April 2024

Abstract Depth estimation is an important task in computer vision. Collecting data at scale for monocular depth estimation is challenging, as this task requires simultaneously capturing RGB images and depth information. Therefore, data augmentation is crucial for this task. Existing data augmentation methods often employ pixel-wise transformations, which may inadvertently disrupt edge features. In this paper, we propose a data augmentation method for monocular depth estimation, which we refer to as the Perpendicular-Cutdepth method. This method involves cutting real-world depth maps along perpendicular directions and pasting them onto input images, thereby diversifying the data without compromising… More >

Ahsan Wajahat¹, Jingsha He¹, Nafei Zhu¹, Tariq Mahmood^2,3, Tanzila Saba², Amjad Rehman Khan², Faten S. Alamri^4,*

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 651-673, 2024, DOI:10.32604/cmc.2024.047530 - 25 April 2024

Abstract The growing usage of Android smartphones has led to a significant rise in incidents of Android malware and privacy breaches. This escalating security concern necessitates the development of advanced technologies capable of automatically detecting and mitigating malicious activities in Android applications (apps). Such technologies are crucial for safeguarding user data and maintaining the integrity of mobile devices in an increasingly digital world. Current methods employed to detect sensitive data leaks in Android apps are hampered by two major limitations they require substantial computational resources and are prone to a high frequency of false positives. This… More >