Antonio Rodrigues da Cunha Neto¹, Alexandra dos Santos Ambrósio¹, Arlinda de Jesus Rodrigues Resende¹, Breno Régis Santos¹, Michele Carla Nadal^2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 539-560, 2025, DOI:10.32604/phyton.2025.061776 - 31 March 2025

Abstract Cytokinins are plant hormones that are essential for plant growth and development and are involved in a variety of processes. They are synthesized by the modification of adenine with an isoprenoid chain, resulting in cytokinins such as isopentenyladenine and zeatin. The levels of these hormones are regulated by conjugation, degradation and oxidation processes that modulate their activity. Cytokinins are perceived by cells through specific receptors that, when activated, trigger signaling cascades responsible for regulating the expression of genes critical for development. In addition, cytokinins interact with other hormones, such as auxins, to coordinate plant growth… More >

Chenhong Li¹, Guojin Han¹, Hua Zhong¹, Chao Zhang¹, Rui Zhang², Jonggeun Choe³, Chen Xing², Xuewen Cao², Jiang Bian^4,*

Energy Engineering, Vol.122, No.4, pp. 1287-1309, 2025, DOI:10.32604/ee.2025.060970 - 31 March 2025

Abstract Extracted natural gas hydrate is a multi-phase and multi-component mixture, and its complex composition poses significant challenges for transmission and transportation, including phase changes following extraction and sediment deposition within the pipeline. This study examines the flow and heat transfer characteristics of hydrates in a riser, focusing on the multi-phase flow behavior of natural gas hydrate in the development riser. Additionally, the effects of hydrate flow and seawater temperature on heat exchange are analyzed by simulating the ambient temperature conditions of the South China Sea. The findings reveal that the increase in unit pressure drop… More >

Shenghua Li¹, Kehan Liu², Bangxing Qian², Ziwei Wen², Bo Shi^2,*

Frontiers in Heat and Mass Transfer, Vol.23, No.1, pp. 231-248, 2025, DOI:10.32604/fhmt.2025.059963 - 26 February 2025

Abstract Phase change heat transfer devices like heat pipes are widely utilized in temperature control and heat transfer. However, the traditional single uniform wick makes it hard to meet the requirements of capillary pressure and permeability for high-performance heat pipes, thus limiting the improvement of heat transfer performance. In this paper, a gradient structure wick sintered by 316 L stainless steel powder is designed. The capillary performance is tested and characterized through permeability test experiments and capillary rise infrared test experiments. Moreover, the influence of different particle sizes of sintered powder on the capillary performance of More >

Yahia Said^1,2,*, Yahya Alassaf³, Refka Ghodhbani⁴, Taoufik Saidani⁴, Olfa Ben Rhaiem⁵

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 3005-3018, 2025, DOI:10.32604/cmc.2025.060928 - 17 February 2025

Abstract Transportation systems are experiencing a significant transformation due to the integration of advanced technologies, including artificial intelligence and machine learning. In the context of intelligent transportation systems (ITS) and Advanced Driver Assistance Systems (ADAS), the development of efficient and reliable traffic light detection mechanisms is crucial for enhancing road safety and traffic management. This paper presents an optimized convolutional neural network (CNN) framework designed to detect traffic lights in real-time within complex urban environments. Leveraging multi-scale pyramid feature maps, the proposed model addresses key challenges such as the detection of small, occluded, and low-resolution traffic… More >

Ibrar Afzal¹, Noor ul Amin^1,*, Zulfiqar Ahmad^1,*, Abdulmohsen Algarni²

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 1377-1399, 2025, DOI:10.32604/cmc.2024.057755 - 03 January 2025

Abstract The deployment of the Internet of Things (IoT) with smart sensors has facilitated the emergence of fog computing as an important technology for delivering services to smart environments such as campuses, smart cities, and smart transportation systems. Fog computing tackles a range of challenges, including processing, storage, bandwidth, latency, and reliability, by locally distributing secure information through end nodes. Consisting of endpoints, fog nodes, and back-end cloud infrastructure, it provides advanced capabilities beyond traditional cloud computing. In smart environments, particularly within smart city transportation systems, the abundance of devices and nodes poses significant challenges related… More >

Hailong Wang^*, Junchao Shi

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 1109-1128, 2025, DOI:10.32604/cmc.2024.057706 - 03 January 2025

Abstract A two-stage algorithm based on deep learning for the detection and recognition of can bottom spray codes and numbers is proposed to address the problems of small character areas and fast production line speeds in can bottom spray code number recognition. In the coding number detection stage, Differentiable Binarization Network is used as the backbone network, combined with the Attention and Dilation Convolutions Path Aggregation Network feature fusion structure to enhance the model detection effect. In terms of text recognition, using the Scene Visual Text Recognition coding number recognition network for end-to-end training can alleviate… More >

Shorouq Alshawabkeh, Li Wu^*, Daojun Dong, Yao Cheng, Liping Li

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 561-577, 2025, DOI:10.32604/cmc.2024.057213 - 03 January 2025

Abstract Detecting pavement cracks is critical for road safety and infrastructure management. Traditional methods, relying on manual inspection and basic image processing, are time-consuming and prone to errors. Recent deep-learning (DL) methods automate crack detection, but many still struggle with variable crack patterns and environmental conditions. This study aims to address these limitations by introducing the MaskerTransformer, a novel hybrid deep learning model that integrates the precise localization capabilities of Mask Region-based Convolutional Neural Network (Mask R-CNN) with the global contextual awareness of Vision Transformer (ViT). The research focuses on leveraging the strengths of both architectures… More >

Khadija El Fellah^1,*, Ikram El Azami^2,*, Adil El Makrani², Habiba Bouijij³, Oussama El Azzouzy⁴

Computer Systems Science and Engineering, Vol.49, pp. 99-122, 2025, DOI:10.32604/csse.2024.057754 - 03 January 2025

Abstract The rapid growth of the automotive industry has raised significant concerns about the security of connected vehicles and their integrated supply chains, which are increasingly vulnerable to advanced cyber threats. Traditional authentication methods have proven insufficient, exposing systems to risks such as Sybil, Denial of Service (DoS), and Eclipse attacks. This study critically examines the limitations of current security protocols, focusing on authentication and data exchange vulnerabilities, and explores blockchain technology as a potential solution. Blockchain’s decentralized and cryptographically secure framework can significantly enhance Vehicle-to-Vehicle (V2V) communication, ensure data integrity, and enable transparent, immutable transactions More >

Chengyong Peng¹, Jianshu Wu¹, Mao Jiang¹, Biao Yin^2,3,*, Yishan Lou^2,3

Energy Engineering, Vol.122, No.1, pp. 185-201, 2025, DOI:10.32604/ee.2024.056062 - 27 December 2024

Abstract To analyze the differences in the transport and distribution of different types of proppants and to address issues such as the short effective support of proppant and poor placement in hydraulically intersecting fractures, this study considered the combined impact of geological-engineering factors on conductivity. Using reservoir production parameters and the discrete element method, multispherical proppants were constructed. Additionally, a 3D fracture model, based on the specified conditions of the L block, employed coupled (Computational Fluid Dynamics) CFD-DEM (Discrete Element Method) for joint simulations to quantitatively analyze the transport and placement patterns of multispherical proppants in… More > Graphic Abstract

Kairuo Chen¹, He Wang^1,*, Xiangliang Wang²

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.12, pp. 2721-2739, 2024, DOI:10.32604/fdmp.2024.055174 - 23 December 2024

Abstract Pneumatic conveying technology, as an efficient material transportation method, has been widely used in various industrial fields. To study the powder transportation in horizontal ash conveying pipes, this study relies on the Computational Particle Fluid Dynamics (CPFD) numerical method. The characteristics of the gas-solid two-phase flow under continuous air supply conditions are analyzed, and the effects on particle movement of factors such as feed port spacing, inlet air velocity, and the number of discharge ports are explored accordingly. The research results show that when the inlet velocity is 5 m/s, adjacent discharged particles come into More >