Yulin Yao, Kangfeng Zheng, Bin Wu^*, Chunhua Wu, Jiaqi Gao, Jvjie Wang, Minjiao Yang

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4753-4776, 2025, DOI:10.32604/cmc.2025.065059 - 23 October 2025

Abstract Cognitive biases are commonly used by attackers to manipulate users’ psychology in phishing emails. This study systematically analyzes the exploitation of cognitive biases in phishing emails and addresses the following questions: (1) Which cognitive biases are frequently exploited in phishing emails? (2) How are cognitive biases exploited in phishing emails? (3) How effective are cognitive bias features in detecting phishing emails? (4) How can the exploitation of cognitive biases in phishing emails be modelled? To address these questions, this study constructed a cognitive processing model that explains how attackers manipulate users by leveraging cognitive biases More >

FANGFANG HU¹, ZHIBIN BAI², YANG WANG¹, HAODONG TANG³, JIAHUA ZHOU^1,*

Oncology Research, Vol.33, No.7, pp. 1723-1737, 2025, DOI:10.32604/or.2025.059631 - 26 June 2025

Abstract Background: Kinesin-14 family protein 1 (KIFC1) is abnormally overexpressed in various cancers, and the transcription factor ETS variant 1 (ETV1) is an oncogenic transcription factor in tumors. The potential binding sites on the KIFC1 promoter by ETV1 were observed; however, no evidence supports that ETV1 targets KIFC1. Aims: This study aimed to investigate the relationship between KIFC1 and ETV1, and their effects and mechanisms in pancreatic cancer. Methods: Pan-cancer analysis of KIFC1 expression was performed in GEPIA2 database. KIFC1 expression levels were determined by immunohistochemistry (IHC) in our pancreatic cancer cohort. The correlation between KIFC1… More >

Jim Wong^1,2, Zhaoxiang Zang^3,*

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3451-3469, 2025, DOI:10.32604/cmc.2025.061006 - 16 April 2025

Abstract In the field of image forensics, image tampering detection is a critical and challenging task. Traditional methods based on manually designed feature extraction typically focus on a specific type of tampering operation, which limits their effectiveness in complex scenarios involving multiple forms of tampering. Although deep learning-based methods offer the advantage of automatic feature learning, current approaches still require further improvements in terms of detection accuracy and computational efficiency. To address these challenges, this study applies the U-Net 3+ model to image tampering detection and proposes a hybrid framework, referred to as DDT-Net (Deep Detail… More >

Chenze Li¹, Manish Jain^1,2, Qian Liu¹, Zhuohan Cao¹, Michael Ferry³, Jamie J. Kruzic¹, Bernd Gludovatz¹, Xiaopeng Li^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.4, pp. 1-2, 2024, DOI:10.32604/icces.2024.011290

Abstract Laser powder bed fusion (LPBF) additive manufacturing (AM) technology has become a versatile tool for producing new microstructures in metal components, offering novel mechanical properties for different applications. In this work, enhanced ductility (~55% elongation) and tunable mechanical anisotropy (ratio of ductility along vertical to horizontal orientation from ~0.2 to ~1) were achieved for a CoCrNi medium entropy alloy (MEA) by multi-scale synergistic microstructure manipulation (i.e., melt pool boundary, grain morphology and crystallographic texture) through adjusting key LPBF processing parameters (e.g., laser power and scan speed). By increasing the volumetric energy density (VED) from 68.3… More >

Xiaobing Cai¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.012376

Abstract Acoustic and Electromagnetic Metamaterials/Metasurface have demonstrated various fascinating functionalities in wave manipulation. However, further employment of the manipulated wave for controlling the movement of discrete particle matter is not so widely investigated. Particle matter, also known as granular matter, granular material etc, is the most common form of matter in nature, and so the effective control of granular matter is closely related to engineering and daily life. The use of sound waves and electromagnetic waves to manipulate the granular matter has been widely used in printing, environmental protection, pharmaceuticals and many other fields. However, in… More >

Leilei Wang¹, Li Chen², Haihang Cui², Xu Zheng^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-2, 2024, DOI:10.32604/icces.2024.011434

Abstract The emerging technique of artificial micro/nano-motors [1] provides a vivid example of the idea using tiny machines to finish jobs in microscopic world. Among many micro/nano-motors, microbubble driven micromotor is a unique type that can reach the highest propulsion speed [2, 3], owing to the high surface energy of the bubble and the focused hydrodynamic jet during bubble collapse that can significantly enhance micromotor’s propulsion. Recent progress has demonstrated that the microbubble itself can implement new functions for the micromotor based on bubble dynamics and induced hydrodynamic flow, rather than merely providing energy. For instance,… More >

Ali Asghar^1,#, Amna Shifa^2,#, Mamoona Naveed Asghar^2,*

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 3591-3635, 2024, DOI:10.32604/cmc.2024.054654 - 12 September 2024

Abstract Videos represent the most prevailing form of digital media for communication, information dissemination, and monitoring. However, their widespread use has increased the risks of unauthorised access and manipulation, posing significant challenges. In response, various protection approaches have been developed to secure, authenticate, and ensure the integrity of digital videos. This study provides a comprehensive survey of the challenges associated with maintaining the confidentiality, integrity, and availability of video content, and examining how it can be manipulated. It then investigates current developments in the field of video security by exploring two critical research questions. First, it… More >

Yahui Xue^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09724

Abstract Ion dynamics and precise control in nanochannels play key roles in biological systems, energy conversation, and environmental engineering. However, the mechanics behaviors of ions and their manipulation mechanism under extreme confinement remain largely unexplored. Biological ion channels acting as life’s transistors can gate simultaneously fast and selective ion transport through atomic-scale filters to maintain vital life functions. This biological inspiration motivates the quest for artificial structures with simultaneous functions of ion selectivity, fast transport and electrical gating at the atomic scale. Here, we experimentally investigate the ion dynamics and electrical manipulation in graphene channels of… More >

Haoyi Cheng¹, Jingwen Guo¹, Wenjing Ye^1.*, Xin Zhang¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09237

Abstract With their thin thicknesses and unprecedent wave manipulation capabilities, acoustic metasurfaces have a great potential to be applied in a wide range of applications. Most existing metasurfaces are passive devices. Although passive devices are easy to implement and consume no energy, one major shortcoming of passive devices is their fixed and limited functionality, which greatly limits their application scope. To increase the functionalities of a metasurface and yet still maintain its passivity, we propose to use the wave frequency as a tuning freedom to realize multiple functionalities in one single passive device. Specifically, the passive More >

Changyao Chen¹, Jialei Song^1,*, Ling Yin¹, Yizhe Li², Zheng Yuan², Yuhan Li³

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.09859

Abstract Bird can switch between high maneuverability and high stability due to its ability to substantially morph wings and tail. Tail as an auxiliary lift surface, plays an important role on lift and drag production and also significantly affects the longitudinal stability. In this study, we reconstruct a high-fidelity barn owl model using the point cloud of its surface obtained from high-speed photogrammetry, and simulate the fluid dynamics using a commercial software. By virtually manipulating the tail to a series of postures, we analyze the aerodynamics and static stability for each tail posture, investigating the strategy More >