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  • Open Access

    ARTICLE

    Pressure Classification Analysis on CNN-Transformer-LSTM Hybrid Model

    Peng Xia1, Wu Zeng2,*, Yin Ni1, Ye Jin3

    Journal on Artificial Intelligence, Vol.6, pp. 361-377, 2024, DOI:10.32604/jai.2024.059114 - 13 December 2024

    Abstract Stress is defined as a subjective reflection of an internal psychological state of tension or arousal, manifesting as an interpretive, emotional, and defensive coping process within the body. Prolonged and sustained stress can significantly increase the risk of psychological and physiological disorders. Heart rate variability (HRV) is a key biomarker for assessing autonomic cardiac function, typically increasing during relaxation and decreasing under stress. Although measuring stress through physiological parameters like HRV is a common approach, achieving ultra-high accuracy based on HRV measurements remains a challenging task. In this study, the role of HRV features as… More >

  • Open Access

    ARTICLE

    Network Structure and Variability of Recurrence Fear in Early-Stage Non-Small Cell Lung Cancer: A Symptom Network Analysis

    Lu Liu#, Zhuoheng Lv#, Yousheng Mao, Yan Liu*, Man Liu*

    Psycho-Oncologie, Vol.18, No.4, pp. 317-328, 2024, DOI:10.32604/po.2024.053678 - 04 December 2024

    Abstract Background: Lung cancer, one of the most prevalent and deadly malignancies worldwide, not only poses a significant physical burden but also a profound psychological challenge to patients. Among these psychological challenges, the fear of recurrence stands out as a particularly distressing issue. This fear, often rooted in the patients’ past experiences with the disease and its treatment, can significantly impact their quality of life, mental health, and even compliance with follow-up care. Moreover, this fear can be exacerbated by the lack of understanding and support from healthcare professionals and family members, further isolating patients and… More >

  • Open Access

    ARTICLE

    Continual Reinforcement Learning for Intelligent Agricultural Management under Climate Changes

    Zhaoan Wang1, Kishlay Jha2, Shaoping Xiao1,*

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1319-1336, 2024, DOI:10.32604/cmc.2024.055809 - 15 October 2024

    Abstract Climate change poses significant challenges to agricultural management, particularly in adapting to extreme weather conditions that impact agricultural production. Existing works with traditional Reinforcement Learning (RL) methods often falter under such extreme conditions. To address this challenge, our study introduces a novel approach by integrating Continual Learning (CL) with RL to form Continual Reinforcement Learning (CRL), enhancing the adaptability of agricultural management strategies. Leveraging the Gym-DSSAT simulation environment, our research enables RL agents to learn optimal fertilization strategies based on variable weather conditions. By incorporating CL algorithms, such as Elastic Weight Consolidation (EWC), with established… More >

  • Open Access

    ARTICLE

    Effect of Ecotype and Gender on the Variation of Leaf Morphological, Epidermal and Stomatal Traits among Pistacia atlantica Desf.

    Abdelghafour Doghbage1,*, Safia Belhadj2, Hassen Boukerker3, Jean Philippe Mevy4, Thierry Gauquelin4, Alain Tonetto5, Benbader Habib1,6, Arezki Derridj7, Zahra Robã Bouabdelli1, Walid Soufan8, Fathi Abdellatif Belhouadjeb1

    Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2383-2413, 2024, DOI:10.32604/phyton.2024.055528 - 30 September 2024

    Abstract The Atlas pistachio tree is a typically Mediterranean species, which represents an important forest heritage in the arid and semi-arid regions of Algeria. It is deeply rooted in the local population’s culture, making it essential to better understand this species for its conservation and valorization. Through our work on 7 provenances of Pistacia atlantica distributed across different bioclimates in Algeria and based on 28 quantitative and qualitative leaf, trichome, and stomatal traits, it was revealed that the Atlas pistachio tree exhibits significant ecotypic variability linked to its habitat and a high adaptability to extreme conditions in… 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 >

  • Open Access

    ARTICLE

    Enhancing Secure Development in Globally Distributed Software Product Lines: A Machine Learning-Powered Framework for Cyber-Resilient Ecosystems

    Marya Iqbal1, Yaser Hafeez1, Nabil Almashfi2, Amjad Alsirhani3, Faeiz Alserhani4, Sadia Ali1, Mamoona Humayun5,*, Muhammad Jamal6

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 5031-5049, 2024, DOI:10.32604/cmc.2024.051371 - 20 June 2024

    Abstract Embracing software product lines (SPLs) is pivotal in the dynamic landscape of contemporary software development. However, the flexibility and global distribution inherent in modern systems pose significant challenges to managing SPL variability, underscoring the critical importance of robust cybersecurity measures. This paper advocates for leveraging machine learning (ML) to address variability management issues and fortify the security of SPL. In the context of the broader special issue theme on innovative cybersecurity approaches, our proposed ML-based framework offers an interdisciplinary perspective, blending insights from computing, social sciences, and business. Specifically, it employs ML for demand analysis, More >

  • Open Access

    ARTICLE

    Research on the Intervention Effect of Vibroacoustic Therapy in the Treatment of Patients with Depression

    Xiaodan Wang1,*, Zheng Xie2, Guiping Du3

    International Journal of Mental Health Promotion, Vol.26, No.2, pp. 149-160, 2024, DOI:10.32604/ijmhp.2023.030755 - 08 March 2024

    Abstract Research purpose: This study implemented somatosensory music therapy on patients with depressive disorders, and explored the effects of somatosensory music therapy on the degree of depression, positive and negative emotions, intuitive stress and autonomic nervous function of patients. Research method: We collected 66 patients diagnosed with depression from the Department of Psychological Medicine of Henan Provincial People’s Hospital, and divided them into a control group and an intervention group according to the random number table, with 33 people in each group. The control group received routine psychiatric treatment and nursing. On the basis of the control… More >

  • Open Access

    PROCEEDINGS

    Peridynamic Simulation of Pellet-Clad Mechanical Interaction in Nuclear Fuel Rods

    Qiqing Liu1, Yin Yu1, Y.L. Hu1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.09220

    Abstract The thermomechanical response and potential cracking in nuclear fuel rods are extremely important for nuclear safety analysis. The Pellet-Clad Mechanical Interaction (PCMI) is a significant factor for the thermomechanical behaviors of pellet and clad. This study presents a PCMI model based on ordinary statebased peridynamic (OSB-PD) theory, which considering the heat transfer through the gap and contact heat transfer between pellet and clad. The two-dimensional (2D) models are constructed through irregular nonuniform discretization. The pellet model includes the random variability of the critical stretch of each bond based on normal distribution. The contact model with… More >

  • Open Access

    ARTICLE

    Binary Oriented Feature Selection for Valid Product Derivation in Software Product Line

    Muhammad Fezan Afzal1, Imran Khan1, Javed Rashid1,2,3, Mubbashar Saddique4,*, Heba G. Mohamed5

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3653-3670, 2023, DOI:10.32604/cmc.2023.041627 - 08 October 2023

    Abstract Software Product Line (SPL) is a group of software-intensive systems that share common and variable resources for developing a particular system. The feature model is a tree-type structure used to manage SPL’s common and variable features with their different relations and problem of Crosstree Constraints (CTC). CTC problems exist in groups of common and variable features among the sub-tree of feature models more diverse in Internet of Things (IoT) devices because different Internet devices and protocols are communicated. Therefore, managing the CTC problem to achieve valid product configuration in IoT-based SPL is more complex, time-consuming,… More >

  • Open Access

    ARTICLE

    Estimation of Genetic Divergence and Character Association Studies in Local and Exotic Diversity Panels of Soybean (Glycine max L.) Genotypes

    Syed Ali Zafar1,*, Muhammad Aslam2, Haroon Zaman Khan3, Sehrish Sarwar1, Rao Saad Rehman4, Mariam Hassan1, Ramala Masood Ahmad2, Rafaqat A. Gill5, Basharat Ali6, Ibrahim Al-Ashkar7, Abdullah Ibrahim7, Md Atikur Rahman8, Ayman El Sabagh9,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.6, pp. 1887-1906, 2023, DOI:10.32604/phyton.2023.027679 - 11 April 2023

    Abstract The availability of favorable genetic diversity is a thriving vitality for the success of a breeding program. It provides a firm basis of selecting superior breeding lines for the development of high yielding crop genotypes. In this context, present investigation aimed to generate information on genetic divergence and character association in a diversity panel of 123 local and exotic soybean genotypes. Analysis of variance revealed significant response of the evaluated genotypes based on studied attributes. It depicted the probability of selecting desirable soybean genotypes by focusing on character association studies and genetic diversity analysis. Correlation… More >

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