Ye Fu¹, Liwen Deng^1,*, Jinbo Hu^2,3,*, Ti Li³, Shanshan Chang²

Journal of Renewable Materials, Vol.11, No.12, pp. 4025-4038, 2023, DOI:10.32604/jrm.2023.028454

Abstract In the study, it is proposed that a coordinate-parametric matrix model is performed to a square-conjoint pattern of cross woven (SCPCW) in the bamboo mat. The patterns of SCPCW are firstly detected according to the perspective of configuration, which is divided into the basic-monomer shape and the basic combination shape. Secondly, the compositions of design patterns in SCPCW are analyzed to attain the trend of curve shape. Based on the coordinate-parametric matrix model, the specimens of SCPCW are subsequently accomplished to elaborate the woven logic of bamboo mats. The digital innovation of SCPCW, defined by a mathematical resolution, is implemented… More > Graphic Abstract

Portia Felix¹, Lee Leon^1,*, Derek Gay¹, Stefano Salon², Hazi Azamathulla¹

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.1, pp. 59-77, 2024, DOI:10.32604/fdmp.2023.028031

Abstract Oil spills continue to generate various issues and concerns regarding their effect and behavior in the marine environment, owing to the related potential for detrimental environmental, economic and social implications. It is essential to have a solid understanding of the ways in which oil interacts with the water and the coastal ecosystems that are located nearby. This study proposes a simplified model for predicting the plume-like transport behavior of heavy Bunker C fuel oil discharging downward from an acutely-angled broken pipeline located on the water surface. The results show that the spill overall profile is articulated in three major flow… More >

XUNAN ZHAO^#, EMMANUEL MAGO^#, DAN WENG^*

BIOCELL, Vol.47, No.10, pp. 2151-2162, 2023, DOI:10.32604/biocell.2023.030570

Abstract Acute respiratory distress syndrome (ARDS) is a life-threatening pulmonary disease typically caused by microbial infections, trauma, inhalation of harmful gases, and other factors. It is characterized by an inflammation in the lungs and increased alveolar permeability, leading to pulmonary edema and consequently, a low oxygen supply or hypoxemia. ARDS is responsible for 1 in 10 admissions to intensive care units, and the mortality rate for patients with severe ARDS is as high as 46%. Extensive efforts have been devoted to investigating the pathological mechanisms of ARDS to develop new effective clinical strategies. Recent studies have reported that receptor-interacting serine/threonine kinase… More > Graphic Abstract

AMGAD M. RABIE^*

BIOCELL, Vol.47, No.10, pp. 2133-2139, 2023, DOI:10.32604/biocell.2023.030057

Abstract Despite the global decline in the severity of the coronavirus disease 2019 (COVID-19) cases, the disease still represents a major concern to the relevant scientific and medical communities. The primary concern of drug scientists, virologists, and other concerned specialists in this respect is to find ready-to-use suitable and potent anticoronaviral therapies that are broadly effective against the different species/strains of the coronaviruses in general, not only against the current and previous coronaviruses (e.g., the recently-appeared severe acute respiratory syndrome coronavirus 2 “SARS-CoV-2”), i.e., effective antiviral agents for treatment and/or prophylaxis of any coronaviral infections, including those of the coming ones… More > Graphic Abstract

Jonathan T. Wolkinson, Michael Weinberg^*

International Journal of Mental Health Promotion, Vol.25, No.10, pp. 1137-1145, 2023, DOI:10.32604/ijmhp.2023.029641

Abstract Living under ongoing shelling and missile attacks could cause a widespread of disruption of everyday life and emotional distress. Coping with such distress could be associated with the personal resources of religion and spirituality. The present study aimed to examine the relationships between religiosity and spirituality with Post Traumatic stress Disorder (PTSD) symptoms among a civilian population frequently exposed to missile and rocket threats. One hundred and twenty-four (N = 124) civilian participants living within 10 km from shelling and missile attacks fired towards them, completed demographic, religiosity, spirituality, and PTSD questionnaires. The study findings demonstrate that religiosity is associated… More >

Weizhi Liao¹, Xiaoyun Xia^1,3, Xiaojun Jia¹, Shigen Shen^2,*, Helin Zhuang^4,*, Xianchao Zhang¹

CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3297-3323, 2023, DOI:10.32604/cmc.2023.040967

Abstract As a new bionic algorithm, Spider Monkey Optimization (SMO) has been widely used in various complex optimization problems in recent years. However, the new space exploration power of SMO is limited and the diversity of the population in SMO is not abundant. Thus, this paper focuses on how to reconstruct SMO to improve its performance, and a novel spider monkey optimization algorithm with opposition-based learning and orthogonal experimental design (SMO³) is developed. A position updating method based on the historical optimal domain and particle swarm for Local Leader Phase (LLP) and Global Leader Phase (GLP) is presented to improve the… More >

Hui Xu, Yalin Hu^*, Weidong Cao, Longjie Han

CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3239-3255, 2023, DOI:10.32604/cmc.2023.039227

Abstract The massive influx of traffic on the Internet has made the composition of web traffic increasingly complex. Traditional port-based or protocol-based network traffic identification methods are no longer suitable for today’s complex and changing networks. Recently, machine learning has been widely applied to network traffic recognition. Still, high-dimensional features and redundant data in network traffic can lead to slow convergence problems and low identification accuracy of network traffic recognition algorithms. Taking advantage of the faster optimization-seeking capability of the jumping spider optimization algorithm (JSOA), this paper proposes a jumping spider optimization algorithm that incorporates the harris hawk optimization (HHO) and… More >

Yanlei Xu, Xue Cong, Yuting Zhai, Zhiyuan Gao, Helong Yu^*

Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 3019-3037, 2023, DOI:10.32604/iasc.2023.040330

Abstract To solve inefficient water stress classification of spinach seedlings under complex background, this study proposed an automatic classification method for the water stress level of spinach seedlings based on the N-MobileNetXt (NCAM+MobileNetXt) network. Firstly, this study reconstructed the Sandglass Block to effectively increase the model accuracy; secondly, this study introduced the group convolution module and a two-dimensional adaptive average pool, which can significantly compress the model parameters and enhance the model robustness separately; finally, this study innovatively proposed the Normalization-based Channel Attention Module (NCAM) to enhance the image features obviously. The experimental results showed that the classification accuracy of N-MobileNetXt… More >

Fei Wang^1,2, Li Li¹, Yinxing Wan¹, Zhuorong Li¹, Lixian Luo³, Bangshun Hu¹, Jiahui Pan^1,2, Zhenfu Wen⁴, Haiyun Huang^1,2,*

CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 2301-2316, 2023, DOI:10.32604/cmc.2023.037727

Abstract Sleep spindles are an electroencephalogram (EEG) biomarker of non-rapid eye movement (NREM) sleep and have important implications for clinical diagnosis and prognosis. However, it is challenging to accurately detect sleep spindles due to the complexity of the human brain and the uncertainty of neural mechanisms. To improve the reliability and objectivity of sleep spindle detection and to compensate for the limitations of manual annotation, this study proposes a new automatic detection algorithm based on Matching Pursuit (MP) and Least Squares Boosting (LSBoost), where the automatic sleep spindle detection algorithm can help reduce the visual annotation workload of sleep clinicians. Specifically,… More >

Huitian Wang¹, Junjie You¹, Sha Yin^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.010417

Abstract Strong and tough mechanical metamaterials are highly demanded in engineering application. Nature inspired dual-phase metamaterial composites was developed and examined, by employing architectured lattice materials with different mechanical properties respectively as the constituent matrix and reinforcement phases. Then, the reinforcement phase was incorporated into the matrix phase with specific patterning. The composite metamaterials were simply fabricated using additive manufacturing. From quasistatic compression tests, the strength and toughness could be simultaneously enhanced after the addition of reinforcement phase grains. Through simulation modeling, effects of dual-phase distribution, elementary architecture, parent material and defects on mechanical properties of dual-phase mechanical metamaterials were investigated.… More >