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  • Open Access

    ARTICLE

    Efficient Unsupervised Image Stitching Using Attention Mechanism with Deep Homography Estimation

    Chunbin Qin*, Xiaotian Ran

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 1319-1334, 2024, DOI:10.32604/cmc.2024.048850

    Abstract Traditional feature-based image stitching techniques often encounter obstacles when dealing with images lacking unique attributes or suffering from quality degradation. The scarcity of annotated datasets in real-life scenes severely undermines the reliability of supervised learning methods in image stitching. Furthermore, existing deep learning architectures designed for image stitching are often too bulky to be deployed on mobile and peripheral computing devices. To address these challenges, this study proposes a novel unsupervised image stitching method based on the YOLOv8 (You Only Look Once version 8) framework that introduces deep homography networks and attention mechanisms. The methodology is partitioned into three distinct… More >

  • Open Access

    ARTICLE

    Unraveling the Rheology of Nanocellulose Aqueous Suspensions: A Comprehensive Study on Biomass-Derived Nanofibrillated Cellulose

    Mingyue Miao1,#, Fei Wang1,#, Qing Li1, Longchen Tao1, Chenchen Dai1, Yu Liu1, Shujuan Han1, Wenshuai Chen1,*, Ping Lu2,*

    Journal of Renewable Materials, Vol.12, No.3, pp. 443-455, 2024, DOI:10.32604/jrm.2023.030412

    Abstract The rheological properties of nanocellulose aqueous suspensions play a critical role in the development of nanocellulose-based bulk materials. High-crystalline, high-aspect ratio, and slender nanofibrillated cellulose (NFC) were extracted from four biomass resources. The cellulose nanofibrils and nanofibril bundles formed inter-connected networks in the NFC aqueous suspensions. The storage moduli of the suspensions with different concentrations were higher than their corresponding loss moduli. As the concentration increased, the storage and loss modulus of NFC dispersion increased. When the shear rate increased to a certain value, there were differences in the changing trend of the rheological behavior of NFC aqueous suspensions derived… More > Graphic Abstract

    Unraveling the Rheology of Nanocellulose Aqueous Suspensions: A Comprehensive Study on Biomass-Derived Nanofibrillated Cellulose

  • Open Access

    ARTICLE

    Performance Evaluation of Nucleating Agents in Polypropylene Homopolymer

    RAVI KUMAR, VISHWA PRATAP SINGH, MADHUKAR PRAJAPATI, ASHWITH, PRIYANKA SINGH, SATYAJIT SAMANTA, SAIKAT BANERJEE*

    Journal of Polymer Materials, Vol.36, No.4, pp. 323-335, 2019, DOI:10.32381/JPM.2019.36.04.3

    Abstract Types of nucleating agents and their dosage level play an important role on the crystallinity of the polymer which controls the final properties like optical clarity, stiffness and reduced cycle time during molding. In this study, the efficiency of two different types of commercially available nucleating agents, phosphate ester and dicarboxylic acid based, have been studied. Both the nucleating agents were compounded with molding grade polypropylene homopolymer having melt flow index (MFI) of 12 g/10min at 2.16 Kg and 230°C, in a co-rotating twin screw extruder at two different dosage level, i.e. 300 ppm and 600 ppm. The effectiveness of… More >

  • Open Access

    ARTICLE

    Synthesis and Characterization of Poly(N-(3- (hexylamino)-N-(3-(isopropylamino)-3- oxopropyl)acrylamide) Homopolymer

    ARCHANA KUMARI, KHEYANATH MITRA, SAMBHAV VISHWAKARMA, SOUROV MONDAL, SHIKHA SINGH, RAJSHREE SINGH, JAYDEEP SINGH, BISWAJIT MAITI, SUSANTA KUMAR SEN GUPTA, BISWAJIT RAY*

    Journal of Polymer Materials, Vol.37, No.3-4, pp. 143-164, 2020, DOI:10.32381/JPM.2020.37.3-4.3

    Abstract A new acrylamide monomer N-(3-(hexylamino)-N-(3-(isopropylamino)-3-oxopropyl) acrylamide (HA-NIPAM-AM) and a new RAFT agent O-propionyl-2-(N,N-diphenylcarbamothioylthio) propanoate have successfully been synthesized and used for the synthesis of poly(HA-NIPAM-AM) homopolymers via RAFT polymerization. The formed homopolymers have been characterized by GPC, 1 H NMR, FTIR, contact angle measurement, TG-DTA, DSC, and PXRD. Numberaveragemolar masses of the prepared polymers are in the range of 2,500 – 11,500 g/mol. Selfassembly of homopolymer has been studied viacmc determination in water using pyrene as fluorescence probe, HRTEM and DLS. Polymeris thermally stable up to 300 °C and has a glass transition temperature at 85.3 °C. XRD study reveals… More >

  • Open Access

    ARTICLE

    Landscape of Sequence Variations in Homologous Copies of FAD2 and FAD3 in Rapeseed (Brassica napus L.) Germplasm with High/Low Linolenic Acid Trait

    Haoxue Wu#, Xiaohan Zhang§,#, Xiaoyu Chen, Kang Li, Aixia Xu, Zhen Huang, Jungang Dong, Chengyu Yu*

    Phyton-International Journal of Experimental Botany, Vol.93, No.3, pp. 627-640, 2024, DOI:10.32604/phyton.2024.050321

    Abstract Genetic manipulation (either restraint or enhancement) of the biosynthesis pathway of α-linolenic acid (ALA) in seed oil is an important goal in Brassica napus breeding. B. napus is a tetraploid plant whose genome often harbors four and six homologous copies, respectively, of the two fatty acid desaturases FAD2 and FAD3, which control the last two steps of ALA biosynthesis during seed oil accumulation. In this study, we compared their promoters, coding sequences, and expression levels in three high-ALA inbred lines 2006L, R8Q10, and YH25005, a low-ALA line A28, a low-ALA/high-oleic-acid accession SW, and the wildtype ZS11. The expression levels of… More >

  • Open Access

    ARTICLE

    Privacy-Preserving Federated Deep Learning Diagnostic Method for Multi-Stage Diseases

    Jinbo Yang1, Hai Huang1, Lailai Yin2, Jiaxing Qu3, Wanjuan Xie4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.3, pp. 3085-3099, 2024, DOI:10.32604/cmes.2023.045417

    Abstract Diagnosing multi-stage diseases typically requires doctors to consider multiple data sources, including clinical symptoms, physical signs, biochemical test results, imaging findings, pathological examination data, and even genetic data. When applying machine learning modeling to predict and diagnose multi-stage diseases, several challenges need to be addressed. Firstly, the model needs to handle multimodal data, as the data used by doctors for diagnosis includes image data, natural language data, and structured data. Secondly, privacy of patients’ data needs to be protected, as these data contain the most sensitive and private information. Lastly, considering the practicality of the model, the computational requirements should… More >

  • Open Access

    ARTICLE

    Sub-Homogeneous Peridynamic Model for Fracture and Failure Analysis of Roadway Surrounding Rock

    Shijun Zhao1, Qing Zhang2, Yusong Miao1, Weizhao Zhang3, Xinbo Zhao1, Wei Xu1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.3, pp. 3167-3187, 2024, DOI:10.32604/cmes.2023.045015

    Abstract The surrounding rock of roadways exhibits intricate characteristics of discontinuity and heterogeneity. To address these complexities, this study employs non-local Peridynamics (PD) theory and reconstructs the kernel function to represent accurately the spatial decline of long-range force. Additionally, modifications to the traditional bond-based PD model are made. By considering the micro-structure of coal-rock materials within a uniform discrete model, heterogeneity characterized by bond random pre-breaking is introduced. This approach facilitates the proposal of a novel model capable of handling the random distribution characteristics of material heterogeneity, rendering the PD model suitable for analyzing the deformation and failure of heterogeneous layered… More >

  • Open Access

    ARTICLE

    Heterophilic Graph Neural Network Based on Spatial and Frequency Domain Adaptive Embedding Mechanism

    Lanze Zhang, Yijun Gu*, Jingjie Peng

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 1701-1731, 2024, DOI:10.32604/cmes.2023.045129

    Abstract Graph Neural Networks (GNNs) play a significant role in tasks related to homophilic graphs. Traditional GNNs, based on the assumption of homophily, employ low-pass filters for neighboring nodes to achieve information aggregation and embedding. However, in heterophilic graphs, nodes from different categories often establish connections, while nodes of the same category are located further apart in the graph topology. This characteristic poses challenges to traditional GNNs, leading to issues of “distant node modeling deficiency” and “failure of the homophily assumption”. In response, this paper introduces the Spatial-Frequency domain Adaptive Heterophilic Graph Neural Networks (SFA-HGNN), which integrates adaptive embedding mechanisms for… More >

  • Open Access

    ARTICLE

    Histological Assessment of Bone Regeneration in the Maxilla with Homologous Bone Graft: A Feasible Option for Maxillary Bone Reconstruction

    Sergio Henrique Gonçalves Motta1, Ana Paula Ramos Soares1, Juliana Campos Hasse Fernandes2, Gustavo Vicentis Oliveira Fernandes2,3,*

    Journal of Renewable Materials, Vol.12, No.1, pp. 131-148, 2024, DOI:10.32604/jrm.2023.043940

    Abstract Bone biomaterials have been increasingly used to reconstruct maxillary atrophic ridges. Thus, the aim of this study was to evaluate bone reconstruction in the maxilla using a homologous cortico-cancellous FFB (lyophilized) graft and verify its reliability. Eight individuals were included from 2014 to 2018. The first surgery was performed to install homologous bone blocks in the maxilla. The period of the second intervention varied between 5 months and 15 days to 11 months (≈7.93 months). The biopsies were taken from the central region of the matured graft during the surgery for implant placement. All patients presented clinical and radiographic conditions… More >

  • Open Access

    ARTICLE

    Nitrogen-Doped Amorphous Carbon Homojunction from Palmyra Sugar as a Renewable Solar Cell

    Budhi Priyanto1,2,*, Imam Khambali1,2, Irma Septi Ardiani2, Khoirotun Nadhiyah2, Anna Zakiyatul Laila2, M. Chasrun Hasani1, Bima Romadhon3, Retno Asih2, Yoyok Cahyono2, Triwikantoro2, Darminto2,*

    Journal of Renewable Materials, Vol.12, No.1, pp. 57-69, 2024, DOI:10.32604/jrm.2023.028619

    Abstract An a-C/a-C:N junction, which used palmyra sugar as the carbon source and ammonium hydroxide (NH4OH) as the dopant source, was successfully deposited on the ITO glass substrate using the nano-spraying method. The current-voltage relationship of the junction was found to be a Schottky-like contact, and therefore the junction shows the characteristic rectifiers. This means the a-C and a-C:N are semiconductors with different types of conduction. Moreover, the samples showed an increase in current and voltage value when exposed to visible light (bright state) compared to the dark condition, thereby, indicating the creation of electron-hole pairs during the exposure. It was… More > Graphic Abstract

    Nitrogen-Doped Amorphous Carbon Homojunction from Palmyra Sugar as a Renewable Solar Cell

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