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  • Open Access

    ARTICLE

    The Correlation between Psychological Resilience and Professional Quality of Life in Saudi Psychiatric Nurses: A Cross-Sectional Study

    Ahmad M. Rayani*

    Psycho-Oncologie, Vol.18, No.4, pp. 271-280, 2024, DOI:10.32604/po.2024.056045 - 04 December 2024

    Abstract In recent years, significant focus has been placed on resilience, with ongoing studies aiming to identify strategies for reducing the negative effects of job stress and protecting nurses from negative psychosocial outcomes. Nevertheless, as far as this topic is concerned, no research has yet been conducted in the context of Saudi psychiatric nurses. The aim of this research, therefore, is to determine how Saudi Arabian psychiatric nurses’ professional quality of life and psychological resilience relate to one another. To this aim, a cross-sectional study has been performed in Saudi Arabia incorporating a population of 167… More >

  • Open Access

    PROCEEDINGS

    Hybrid Inverse Modeling Technique to Determine the Fracture Properties of Intermetallic Layer Formed at Al/Steel Dissimilar Weld Interface

    Kiyoaki T. Suzuki1,*, Sylvain Dancette2, Shun Tokita3, Yutaka S. Sato4

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012072

    Abstract Dissimilar welding of aluminum (Al) alloy to steel has been a long-running scientific and technological problem mainly for the automotive industry. It would allow to achieve new designs of optimized vehicle structures combining strength, lightweight and energy absorption ability. However, the weld strength is limited because of a brittle intermetallic layer (IML) formed at the weld interface. In our previous study, we demonstrated a significant improvement in weld strength by the addition of Ni to aluminum alloy. However, the effect of Ni addition on the fracture properties of IML remains unexplored. Moreover, additional Ni should… More >

  • Open Access

    ARTICLE

    A News Media Bias and Factuality Profiling Framework Assisted by Modeling Correlation

    Qi Wang1, Chenxin Li1,*, Chichen Lin2, Weijian Fan3, Shuang Feng1, Yuanzhong Wang4

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 3351-3369, 2024, DOI:10.32604/cmc.2024.057191 - 18 November 2024

    Abstract News media profiling is helpful in preventing the spread of fake news at the source and maintaining a good media and news ecosystem. Most previous works only extract features and evaluate media from one dimension independently, ignoring the interconnections between different aspects. This paper proposes a novel news media bias and factuality profiling framework assisted by correlated features. This framework models the relationship and interaction between media bias and factuality, utilizing this relationship to assist in the prediction of profiling results. Our approach extracts features independently while aligning and fusing them through recursive convolution and More >

  • Open Access

    ARTICLE

    TGAIN: Geospatial Data Recovery Algorithm Based on GAIN-LSTM

    Lechan Yang1,*, Li Li2, Shouming Ma3

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1471-1489, 2024, DOI:10.32604/cmc.2024.056379 - 15 October 2024

    Abstract Accurate geospatial data are essential for geographic information systems (GIS), environmental monitoring, and urban planning. The deep integration of the open Internet and geographic information technology has led to increasing challenges in the integrity and security of spatial data. In this paper, we consider abnormal spatial data as missing data and focus on abnormal spatial data recovery. Existing geospatial data recovery methods require complete datasets for training, resulting in time-consuming data recovery and lack of generalization. To address these issues, we propose a GAIN-LSTM-based geospatial data recovery method (TGAIN), which consists of two main works:… More >

  • Open Access

    ARTICLE

    Efficient User Identity Linkage Based on Aligned Multimodal Features and Temporal Correlation

    Jiaqi Gao1, Kangfeng Zheng1,*, Xiujuan Wang2, Chunhua Wu1, Bin Wu2

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 251-270, 2024, DOI:10.32604/cmc.2024.055560 - 15 October 2024

    Abstract User identity linkage (UIL) refers to identifying user accounts belonging to the same identity across different social media platforms. Most of the current research is based on text analysis, which fails to fully explore the rich image resources generated by users, and the existing attempts touch on the multimodal domain, but still face the challenge of semantic differences between text and images. Given this, we investigate the UIL task across different social media platforms based on multimodal user-generated contents (UGCs). We innovatively introduce the efficient user identity linkage via aligned multi-modal features and temporal correlation… More >

  • Open Access

    ARTICLE

    Multi-Label Feature Selection Based on Improved Ant Colony Optimization Algorithm with Dynamic Redundancy and Label Dependence

    Ting Cai1, Chun Ye1, Zhiwei Ye1,*, Ziyuan Chen1, Mengqing Mei1, Haichao Zhang1, Wanfang Bai2, Peng Zhang3

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1157-1175, 2024, DOI:10.32604/cmc.2024.055080 - 15 October 2024

    Abstract The world produces vast quantities of high-dimensional multi-semantic data. However, extracting valuable information from such a large amount of high-dimensional and multi-label data is undoubtedly arduous and challenging. Feature selection aims to mitigate the adverse impacts of high dimensionality in multi-label data by eliminating redundant and irrelevant features. The ant colony optimization algorithm has demonstrated encouraging outcomes in multi-label feature selection, because of its simplicity, efficiency, and similarity to reinforcement learning. Nevertheless, existing methods do not consider crucial correlation information, such as dynamic redundancy and label correlation. To tackle these concerns, the paper proposes a More >

  • Open Access

    ARTICLE

    Automatic Extraction of Medical Latent Variables from ECG Signals Utilizing a Mutual Information-Based Technique and Capsular Neural Networks for Arrhythmia Detection

    Abbas Ali Hassan, Fardin Abdali-Mohammadi*

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 971-983, 2024, DOI:10.32604/cmc.2024.053817 - 15 October 2024

    Abstract From a medical perspective, the 12 leads of the heart in an electrocardiogram (ECG) signal have functional dependencies with each other. Therefore, all these leads report different aspects of an arrhythmia. Their differences lie in the level of highlighting and displaying information about that arrhythmia. For example, although all leads show traces of atrial excitation, this function is more evident in lead II than in any other lead. In this article, a new model was proposed using ECG functional and structural dependencies between heart leads. In the prescreening stage, the ECG signals are segmented from… More >

  • Open Access

    PROCEEDINGS

    Static and Dynamic Fracture Toughness of Graphite Materials with Varying Grain Sizes

    Sihui Tong1, Boyuan Cao1, Dongqing Tian2, Qinwei Ma1, Guangyan Liu1,*, Li Shi2, Libin Sun2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.010870

    Abstract Graphite materials serve critical roles as moderators, reflectors and core structural components in high-temperature gas-cooled nuclear reactors. These materials may experience a variety of loads during the reactor operation, including thermal, radiation, fatigue and dynamic loads, potentially leading to crack initiation and propagation. Consequently, it is imperative to investigate the fracture properties of graphite materials. Currently, there exists a dearth of comprehensive studies on the fracture toughness of graphite materials with varying grain sizes, especially regarding dynamic fracture toughness. This study introduces a novel approach utilizing a digital-image-correlation-based virtual extensometer to analyze crack propagation in… More >

  • Open Access

    ARTICLE

    The Correlation between the Power Quality Indicators and Entropy Production Characteristics of Wind Power + Energy Storage Systems

    Caifeng Wen1,2, Boxin Zhang1,*, Yuanjun Dai3, Wenxin Wang4, Wanbing Xie1, Qian Du1

    Energy Engineering, Vol.121, No.10, pp. 2961-2979, 2024, DOI:10.32604/ee.2024.041677 - 11 September 2024

    Abstract Power quality improvements help guide and solve the problems of inefficient energy production and unstable power output in wind power systems. The purpose of this paper is mainly to explore the influence of different energy storage batteries on various power quality indicators by adding different energy storage devices to the simulated wind power system, and to explore the correlation between system entropy generation and various indicators, so as to provide a theoretical basis for directly improving power quality by reducing loss. A steady-state experiment was performed by replacing the wind wheel with an electric motor,… More >

  • Open Access

    ARTICLE

    Genetic Variability and Phenotypic Correlations Study among Grain Quality Traits and Mineral Elements Concentrations in Colored and Non-Colored Rice (Oryza sativa L.)

    Adel A. Rezk1,2,*, Mohamed M. El-Malky3, Heba I. Mohamed4,*, Hossam S. El-Beltagi1,5

    Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1733-1748, 2024, DOI:10.32604/phyton.2024.052739 - 30 July 2024

    Abstract Twenty-four rice genotypes were examined to assess genetic variability, heritability, and correlations for seven-grain quality traits, eight nutritional elements, and protein. ANOVA revealed significant differences for the quality traits studied. For every trait under study, the phenotypic coefficient of variation was higher than the correspondence genotypic coefficient of variation. Heritability in a broad sense varied from 29.75% for grain length to 98.31% for the elongation trait. Hulling percentage recovery had a highly significant positive correlation with milling and head rice percentage. Consequently, milling percentage had a highly positive correlation with head rice percentage. In amylose… More >

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