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  • Open Access

    ARTICLE

    Effect of Modulus Heterogeneity on the Equilibrium Shape and Stress Field of α Precipitate in Ti-6Al-4V

    Di Qiu1,3,4, Rongpei Shi2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 1017-1028, 2024, DOI:10.32604/cmes.2024.048797

    Abstract For media with inclusions (e.g., precipitates, voids, reinforcements, and others), the difference in lattice parameter and the elastic modulus between the matrix and inclusions cause stress concentration at the interfaces. These stress fields depend on the inclusions’ size, shape, and distribution and will respond instantly to the evolving microstructure. This study develops a phase-field model concerning modulus heterogeneity. The effect of modulus heterogeneity on the growth process and equilibrium state of the α plate in Ti-6Al-4V during precipitation is evaluated. The α precipitate exhibits strong anisotropy in shape upon cooling due to the interplay of the elastic strain and interfacial… More >

  • Open Access

    REVIEW

    Reconstruction of the Hindlimb Locomotion of Confuciusornis (Aves) and Its Implication for the Origin of Avian Flight

    Xinsen Wei1, Ying Guo1,2,*, Yan Zhao1

    Molecular & Cellular Biomechanics, Vol.20, No.2, pp. 49-61, 2023, DOI:10.32604/mcb.2023.041173

    Abstract As one of the most basal avian clades, the Confuciusornithids are ideal in revealing the early evolution of avian flight. Birds’ hindlimbs are functionally diverse and contain a wealth of information about their behavior. The hindlimb of Confuciusornis, however, has only been studied in detail in terms of functional morphology, and quantitative studies that directly assess locomotor ability are relatively lacking. This has led to certain controversies on the behavior of Confuciusornis. This paper reviews the debates over the life habits and take-off ability of Confuciusornis, which are closely related to their hindlimb function. Several methodologies adopted engineering techniques, including… More >

  • Open Access

    ARTICLE

    Phenotypic Characterization of Oryza nivara (Sharma et Shastry) Collected from Different Ecological Niches of Sri Lanka

    Salinda Sandamal1,2,3,#, Asanka Tennakoon1,#, Parakkrama Wijerathna1, Song Ge2,3, DABN Amarasekera4, Buddhi Marambe5, Sara M. Elwany6, Sobhy Sorour6, Ayman El Sabagh6, Mohamed M. Hassan7, Disna Ratnasekera1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.6, pp. 1269-1287, 2022, DOI:10.32604/phyton.2022.018983

    Abstract Information on the genetic diversity of wild rice species in Sri Lanka is relatively meagre, though it plays a key role in crop improvement programs of cultivated rice (Oryza sativa L.). The present study was carried out to identify the morphological variation pattern of the wild populations of O. nivara in Sri Lanka. Seven populations (P1 to P7) collected from different agro-ecological regions were characterized in a common garden based on nine morphological traits. The findings revealed a high level of phenotypic variation between populations when compared to within a population. The most variable traits were the flag leaf panicle… More >

  • Open Access

    ARTICLE

    Modeling Habit Patterns Using Conditional Reflexes in Agency

    Qura-Tul-Ain Khan1, Taher M. Ghazal2,3, Sagheer Abbas1, Wasim Ahmad Khan1, Muhammad Adnan Khan5,6, Raed A. Said4, Munir Ahmad1, Muhammad Asif1,*

    Intelligent Automation & Soft Computing, Vol.30, No.2, pp. 539-552, 2021, DOI:10.32604/iasc.2021.018888

    Abstract For decision-making and behavior dynamics in humans, the principal focus is on cognition. Cognition can be described using cognitive behavior, which has multiple states. This cognitive behavior can be incorporated with one of the internal mental states’ help, which includes desires, beliefs, emotions, intentions, different levels of knowledge, goals, skills, etc. That leads to habit development. Habits are highly refined patterns formed in the unconscious that evolve from conscious skill patterns in the human, and the same process can be implemented in the agency. These habit patterns are the outcomes of many internal values that may vary due to variations… More >

  • Open Access

    ARTICLE

    A Hypergraph-Embedded Convolutional Neural Network for Ice Crystal Particle Habit Classification

    Mengyuan Liao1, Jing Duan2,3,*, Rong Zhang2,3, Xu Zhou2,3, Xi Wu1, Xin Wang4, Jinrong Hu1

    Intelligent Automation & Soft Computing, Vol.29, No.3, pp. 787-801, 2021, DOI:10.32604/iasc.2021.018190

    Abstract In the field of weather modification, it is important to accurately identify the ice crystal particles in ice clouds. When ice crystal habits are correctly identified, cloud structure can be further understood and cloud seeding and other methods of weather modification can be used to change the microstructure of the cloud. Consequently, weather phenomena can be changed at an appropriate time to support human production and quality of life. However, ice crystal morphology is varied. Traditional ice crystal particle classification methods are based on expert experience, which is subjective and unreliable for the identification of the categories by threshold setting.… More >

  • Open Access

    ARTICLE

    Image-to-Image Style Transfer Based on the Ghost Module

    Yan Jiang1, Xinrui Jia1, Liguo Zhang1,2,*, Ye Yuan1, Lei Chen3, Guisheng Yin1

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 4051-4067, 2021, DOI:10.32604/cmc.2021.016481

    Abstract The technology for image-to-image style transfer (a prevalent image processing task) has developed rapidly. The purpose of style transfer is to extract a texture from the source image domain and transfer it to the target image domain using a deep neural network. However, the existing methods typically have a large computational cost. To achieve efficient style transfer, we introduce a novel Ghost module into the GANILLA architecture to produce more feature maps from cheap operations. Then we utilize an attention mechanism to transform images with various styles. We optimize the original generative adversarial network (GAN) by using more efficient calculation… More >

  • Open Access

    ARTICLE

    Modelling the Psychological Impact of COVID-19 in Saudi Arabia Using Machine Learning

    Mohammed A. Aleid1, Khaled A. Z. Alyamani2, Mohieddine Rahmouni2,3, Theyazn H. H. Aldhyani2,*, Nizar Alsharif4, Mohammed Y. Alzahrani4

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2029-2047, 2021, DOI:10.32604/cmc.2021.014873

    Abstract This article aims to assess health habits, safety behaviors, and anxiety factors in the community during the novel coronavirus disease (COVID-19) pandemic in Saudi Arabia based on primary data collected through a questionnaire with 320 respondents. In other words, this paper aims to provide empirical insights into the correlation and the correspondence between socio-demographic factors (gender, nationality, age, citizenship factors, income, and education), and psycho-behavioral effects on individuals in response to the emergence of this new pandemic. To focus on the interaction between these variables and their effects, we suggest different methods of analysis, comprising regression trees and support vector… More >

  • Open Access

    ARTICLE

    Sperm ultrastructure of Mytella (Bivalvia) populations from distinct habitats along the northern coast of São Paulo State, Brazil

    GISELE ORLANDI INTROÍNI1, FERNANDA MARTINS MAESTER1, FOSCA Pedini PEREIRA LEITE2 AND SHIRLEI MARIA RECCO-PIMENTEL1

    BIOCELL, Vol.34, No.3, pp. 103-112, 2010, DOI:10.32604/biocell.2010.34.103

    Abstract Ultrastructural analyses of bivalve spermatozoa are relevant in studies that aim to identify taxonomic traits for the purposes of discriminating species and conducting phylogenetic studies. In the present work, spermatozoa of mussel specimens of the genus Mytella, collected from two populations living in distinct habitats, were examined by electron microscopy. The objective was to identify sperm ultrastructural taxonomic traits that could be used to differentiate Mytella species. The specimens were from populations that live in intertidal zones on the southeast coast of Brazil, either buried in muddy-sand sediment or anchored to rocky substrates. The acrosomal vesicle was conical and long,… More >

  • Open Access

    ARTICLE

    Leaf photosynthetic characteristics in eight shaded Malaysian filmy ferns

    Nurul Hafiza MR, KT Yong, N Osman, A Nasrulhaq-Boyce

    Phyton-International Journal of Experimental Botany, Vol.83, pp. 353-361, 2014, DOI:10.32604/phyton.2014.83.353

    Abstract The photosynthetic characteristics of eight Malaysian Hymenophyllaceae filmy ferns from shady habitats were investigated in this study. Chlorophyll content was highest in Trichomanes meifolium, followed by Cephalomanes obscurum, Hymenophyllum serrulatum, H. denticulatum, H. javanicum, H. acanthoides, H. exsertum and H. blandum, with values ranging from 3.3 to 8.6 mg/g fresh weight. Soluble protein content was remarkably high in H. serrulatum, with values of 53 ± 3.50 mg/g, followed by H. denticulatum, H. acanthoides, T. meifolium and the other species. Protein to chlorophyll ratios in the filmy ferns were low as expected, except for in H. serrulatum, H. acanthoides and H.… More >

  • Open Access

    ARTICLE

    Biology of Dittrichia viscosa, a Mediterranean ruderal plant: a review

    Parolin P, M Ion Scotta, C Bresch

    Phyton-International Journal of Experimental Botany, Vol.83, pp. 251-262, 2014, DOI:10.32604/phyton.2014.83.251

    Abstract Dittrichia viscosa is a common plant species in the Mediterranean region which is adapted to a wide range of environmental stresses. It is an important species that can be used for phytoremediation, as bioaccumulator or bioindicator, and it has the potential for being employed in integrated pest management in the Mediterranean ecosystem due to its entomophilous character. More >

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