Yahia Said^1,*, Yahya Alassaf², Taoufik Saidani³, Refka Ghodhbani³, Olfa Ben Rhaiem⁴, Ali Ahmad Alalawi¹

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4349-4370, 2024, DOI:10.32604/cmc.2024.058903 - 19 December 2024

Abstract The integration of Unmanned Aerial Vehicles (UAVs) into Intelligent Transportation Systems (ITS) holds transformative potential for real-time traffic monitoring, a critical component of emerging smart city infrastructure. UAVs offer unique advantages over stationary traffic cameras, including greater flexibility in monitoring large and dynamic urban areas. However, detecting small, densely packed vehicles in UAV imagery remains a significant challenge due to occlusion, variations in lighting, and the complexity of urban landscapes. Conventional models often struggle with these issues, leading to inaccurate detections and reduced performance in practical applications. To address these challenges, this paper introduces CFEMNet,… More >

Hideki Mori^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012935

Abstract To design the mechanical strength of iron, it is very important to clarify the detail of dislocation dynamics in Body-Centered Cubic (BCC) Iron. The dislocation core structures are typically confined to the nanometer scale.
This implies that the resistance force from discrete atomic columns has a direct bearing on dislocation mobility.
Recently, we've developed a high-fidelity inter-atomic potential leveraging neural networks built upon density functional theory (DFT) data. By conducting dislocation dynamics simulations, we've addressed shortcomings inherent in classical inter-atomic potential approaches. Nonetheless, a significant challenge persists: a three- to four-fold deviation exists between More >

Miao Huang¹, Maedeh Lotfi¹, Heyang Wang⁴, Hayley Sussman⁵, Kevin Connell¹, Quang Vo¹, Malisa Sarntinoranont¹, Hitomi Yamaguchi¹, Juan Guan², Xin Tang^1,3,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-2, 2024, DOI:10.32604/icces.2024.011130

Abstract Mechanotransduction, i.e., living cells sense and transduce mechanical forces into intracellular biochemical signaling and gene expression, is ubiquitous across diverse organisms. Increasing evidence suggests that mechanotransduction significantly influences cell functions and its mis-regulation is at the heart of various pathologies. A quantitative characterization of the relationship between mechanical forces and resulted mechanotransduction is pivotal in understanding the rules of life and innovating new therapeutic strategies [1-3]. However, while such relationship on the cell surface membrane and cytoskeleton have been well studied, little is known about whether/how mechanical forces applied on the cell interior nucleus (“headquarter… More >

Chenyu Liang¹, Bo Zeng², Mai Tanaka³, Andrea Kannita Noy¹, Matthew Barrett¹, Erica Hengartner¹, Abygale Cochrane⁴, Laura Garzon¹, Mitchell Litvinov⁵, Dietmar Siemann³, Xin Tang^1,3,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-2, 2024, DOI:10.32604/icces.2024.011126

Abstract Cancer accounts for 12.6% of all human deaths worldwide and 90% of cancer-related deaths are due to metastasis: the dissemination of invasive tumor cells from the primary tumors to other vital organs [1-3]. However, how these invasive tumor cells coordinate with each other to achieve the dissemination remains unclear. Recently we discovered that human tumor cells can initiate and transmit previously unknown long-distance (~100s m) intercellular biochemical waves in a microenvironment-mechanics-regulated manner. [4-5] In this presentation, we will present our new results on (1) the 2D/3D spatial-temporal characterization of the long-distance and the intra-/inter-cellular Ca²⁺ signals; More >

Shihao Zhu¹, Fanshun Meng¹, Shihao Zhang¹, Shigenobu Ogata^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.012058

Abstract Hydrogen dissolves in most metallic materials and causes hydrogen embrittlement (HE). This is particularly relevant to iron, a widely used material in engineering applications, which can degrade when exposed to high-pressure hydrogen gas under high temperature. As the hydrogen concentration is a primary factor controls defects properties in metals [1], it is crucial to understand the hydrogen solubility under high H2 pressure, but this aspect remains unclear. At low H2 pressures, the solubility of hydrogen can be predicted using Sieverts’ law [2], which states that the solubility increases proportionally to the square root of H2… More >

Choon-Peng Chng¹, Changjin Huang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011464

Abstract Biological membranes play crucial roles in cellular functions, serving as dynamic interfaces that regulate the passage of molecules and signals between the cell and its environment. Understanding how these membranes respond to environmental stimuli is paramount in elucidating cellular adaptation and survival mechanisms. In this talk, we will present our recent studies on the structural and mechanical changes of biological membranes in response to two different environmental factors, including the presence of reactive oxygen species (ROS) and dehydration. Through systematic molecular dynamics simulations, we have revealed a dynamic interplay between membrane components, membrane mechanics and… More >

Zulian Zhang¹, Meiyu Yan², Jiaqin Qi^3,*

International Journal of Mental Health Promotion, Vol.26, No.11, pp. 957-966, 2024, DOI:10.32604/ijmhp.2024.055468 - 28 November 2024

Abstract Background: The demanding nature of nursing, characterized by long hours, high-stress environments, and substantial workloads, can significantly impact nurses’ mental health. However, there are limited studies that assessed the influence of workplace environment on nursing mental health based on both quantitative and qualitative approaches. Methods: This study aims to comprehensively investigate the multidimensional relationship between the workplace environment and nurses’ well-being. This cross-sectional study was based on a sample of 3256 nurses from various healthcare settings in Shandong province, China (2022), who participated in the quantitative phase. For the qualitative phase, a subsample of participants… More >

Jiaqin Xu¹, Shuhei Shinzato¹, Shihao Zhang¹, Fan-Shun Meng¹, Shigenobu Ogata^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.1, pp. 1-2, 2024, DOI:10.32604/icces.2024.011814

Abstract Hydrogen has the potential to be the clean energy solution to achieve the sustainable development goals (SDGs). However, from preparation to utilization, the hydrogen embrittlement can not be neglected. Hydrogen embrittlement occurs as a result of hydrogen affecting dislocations motion and cracks opening. Dislocation motion in hydrogen environment has not been clarified although several mechanisms have been proposed, including the hydrogen enhanced decohesion (HEDE), the hydrogen enhanced macroscopic ductility (HEMP), the hydrogen enhanced local plastic model (HELP), etc. It is essential to comprehend the underlying hydrogen-dislocation interactions that cause embrittlement. Also, dynamics of dislocation motion… More >

Guowei Li^1,*, 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 (W_net, η_t, η_ex) as evaluation criteria, an economic model is established… More >

Samsul Huda^1,*, Yasuyuki Nogami², Maya Rahayu², Takuma Akada², Md. Biplob Hossain², Muhammad Bisri Musthafa², Yang Jie², Le Hoang Anh²

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 3165-3187, 2024, DOI:10.32604/cmc.2024.058144 - 18 November 2024

Abstract Global food security is a pressing issue that affects the stability and well-being of communities worldwide. While existing Internet of Things (IoT) enabled plant monitoring systems have made significant strides in agricultural monitoring, they often face limitations such as high power consumption, restricted mobility, complex deployment requirements, and inadequate security measures for data access. This paper introduces an enhanced IoT application for agricultural monitoring systems that address these critical shortcomings. Our system strategically combines power efficiency, portability, and secure access capabilities, assisting farmers in monitoring and tracking crop environmental conditions. The proposed system includes a… More >