Yifan Guo^1,3, Jikai Liu², Yongsheng Ma^3,*, Rafiq Ahmad^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-2, 2024, DOI:10.32604/icces.2024.011177

Abstract Multi-axis additive manufacturing (AM) is an advanced manufacturing method with advantages over traditional 3-axis additive manufacturing. A formidable challenge in AM is widely acknowledged in utilizing support materials, a process characterized by temporal and material resource consumption. Extensive research endeavors have been dedicated to mitigating or eliminating reliance on support materials, particularly emphasizing pioneering self-supporting design strategies. Empirical investigations reveal that when the overhang angle of a structure surpasses a predefined threshold (typically 45°), support structures may become dispensable for assisted printing. In traditional 3-axis AM systems, achieving support-free printing for structures exhibiting overhang angles… More >

Hussain AlSalman¹, Taha Alfakih², Mabrook Al-Rakhami², Mohammad Mehedi Hassan^2,*, Amerah Alabrah²

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 2575-2608, 2024, DOI:10.32604/cmes.2024.055011 - 31 October 2024

Abstract Breast cancer diagnosis through mammography is a pivotal application within medical image-based diagnostics, integral for early detection and effective treatment. While deep learning has significantly advanced the analysis of mammographic images, challenges such as low contrast, image noise, and the high dimensionality of features often degrade model performance. Addressing these challenges, our study introduces a novel method integrating Genetic Algorithms (GA) with pre-trained Convolutional Neural Network (CNN) models to enhance feature selection and classification accuracy. Our approach involves a systematic process: first, we employ widely-used CNN architectures (VGG16, VGG19, MobileNet, and DenseNet) to extract a… More >

Chan Hyeong Cho, Hyun Min Song^*, Taek-Young Youn^*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 1911-1931, 2024, DOI:10.32604/cmes.2024.053430 - 31 October 2024

Abstract With the advancement of video recording devices and network infrastructure, we use surveillance cameras to protect our valuable assets. This paper proposes a novel system for encrypting personal information within recorded surveillance videos to enhance efficiency and security. The proposed method leverages Dlib’s CNN-based facial recognition technology to identify Regions of Interest (ROIs) within the video, linking these ROIs to generate unique IDs. These IDs are then combined with a master key to create entity-specific keys, which are used to encrypt the ROIs within the video. This system supports selective decryption, effectively protecting personal information More >

Lingling Li¹, Jingjing Liang¹, Shuzhen Chen^2,*

International Journal of Mental Health Promotion, Vol.26, No.10, pp. 777-790, 2024, DOI:10.32604/ijmhp.2024.056988 - 31 October 2024

Abstract Background: Online game addiction has become a serious global public health problem among adolescents. However, its influencing factors and mediating mechanisms remain ambiguous. Methods: The present study adopted stratified random sampling to collect 6146 junior high school student samples in mainland China. We used regression analysis, and Bootstrap mediation test through SPSS 26.0 and AMOS 24.0 to reveal the tendency of students’ online game addiction with different background characteristics and whether autonomy support from parents and teachers can effectively reduce online game addiction. Results: The results showed that parental (β = −0.112, p < 0.001) and… More >

Bushra Kanwal¹, Rana Saud Shoukat², Saif Ur Rehman^2,*, Mahwish Kundi³, Tahani AlSaedi⁴, Abdulrahman Alahmadi⁴

Intelligent Automation & Soft Computing, Vol.39, No.5, pp. 829-854, 2024, DOI:10.32604/iasc.2024.054645 - 31 October 2024

Abstract Education is the base of the survival and growth of any state, but due to resource scarcity, students, particularly at the university level, are forced into a difficult situation. Scholarships are the most significant financial aid mechanisms developed to overcome such obstacles and assist the students in continuing with their higher studies. In this study, the convoluted situation of scholarship eligibility criteria, including parental income, responsibilities, and academic achievements, is addressed. In an attempt to maximize the scholarship selection process, numerous machine learning algorithms, including Support Vector Machines, Neural Networks, K-Nearest Neighbors, and the C4.5… More >

Yuanyuan Feng¹, Bingli Pan^1,*, Hongyu Liu^1,2, Yuxuan Zhou¹, Xiaofan Ding¹, Xinyu Yuan¹

Journal of Polymer Materials, Vol.41, No.3, pp. 191-203, 2024, DOI:10.32604/jpm.2024.055558 - 30 September 2024

Abstract In this paper, knitted aramid fiber (AF) was used as the support, and graphene oxide (GO) was loaded on the support by the polydopamine (PDA) method. Epoxy resin (EP) was poured to obtain composite materials. The tribological and mechanical properties of the composites were tested, and the wear surface of the composites was characterized by scanning electron microscopy (SEM) and three-dimensional morphology. The results show that knitted AF can markedly improve the mechanical properties of the composites. As a two-dimensional material, GO plays an effective lubrication role, and GO effectively enhances the tribological properties of… More >

Chia-Hui Hou^1,*, Po-Lin Chen²

International Journal of Mental Health Promotion, Vol.26, No.9, pp. 697-708, 2024, DOI:10.32604/ijmhp.2024.051751 - 20 September 2024

Abstract Background: As the elderly population grows, the demand for long-term care services is increasing. Despite significant investments in care quality and workforce training, long-term care workers often face challenges such as work fatigue, heavy workloads, and inadequate support. These issues can impact job satisfaction, mental health, and care quality, leading to staff turnover. This study examines how optimism, social support, and psychological resilience relate to caregiving burden, aiming to understand their effects on caregivers’ well-being and performance to enhance the quality of long-term care services. Methods: The participants were 542 long-term care workers. Descriptive statistics, t-tests,… More >

Xia Sun^1,#, Qin Li^1,#, Yang Li², Wenjun Yan³, Shuai Gong¹, Wenjing Yan^2,*

Psycho-Oncologie, Vol.18, No.3, pp. 233-240, 2024, DOI:10.32604/po.2024.048087 - 12 September 2024

Abstract Colorectal cancer (CRC) poses significant physical and psychological challenges that necessitate an exploration of factors influencing post-traumatic growth (PTG) for patient well-being. This study aims to investigate the effects of positive psychological capital (PsyCap) and perceived stress on mediating the social support-PTG relation among 673 CRC patients. Social support, positive PsyCap, perceived stress, and PTG were assessed through questionnaires. The results indicated a direct prediction effect of social support on PTG (LICI = 0.481, ULCI = 0.644), with the direct effect being 59.5%. Both positive PsyCap and perceived stress exerted a mediating role in the… More >

Daekook Kang¹, Ramya Lakshmanaraj², Samayan Narayanamoorthy², Navaneethakrishnan Suganthi Keerthana Devi², Samayan Kalaiselvan³, Ranganathan Saraswathy⁴, Dragan Pamucar^5,6,7,*, Vladimir Simic^8,9

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 4947-4972, 2024, DOI:10.32604/cmc.2024.055260 - 12 September 2024

Abstract This socialized environment among educated and developed people causes them to focus more on their appearance and health, which turns them towards medical-related treatments, leading us to discuss anti-aging treatment methods for each age group, particularly for urban people who are interested in this. Some anti-aging therapies are used to address the alterations brought on by aging in human life without the need for surgery or negative effects. Five anti-aging therapies such as microdermabrasion or dermabrasion, laser resurfacing anti-aging skin treatments, chemical peels, dermal fillers for aged skin, and botox injections are considered in this… More >

Chih-Ping Wu^*, Ruei-Syuan Chang

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 917-949, 2024, DOI:10.32604/cmes.2024.052307 - 20 August 2024

Abstract This work develops a Hermitian C differential reproducing kernel interpolation meshless (DRKIM) method within the consistent couple stress theory (CCST) framework to study the three-dimensional (3D) microstructure-dependent static flexural behavior of a functionally graded (FG) microplate subjected to mechanical loads and placed under full simple supports. In the formulation, we select the transverse stress and displacement components and their first- and second-order derivatives as primary variables. Then, we set up the differential reproducing conditions (DRCs) to obtain the shape functions of the Hermitian C differential reproducing kernel (DRK) interpolant’s derivatives without using direct differentiation. The interpolant’s… More >