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  • Open Access

    ARTICLE

    Intervention Research and Support Systems for People Affected by Cancer and Their Families: Results of a Descriptive Analysis

    Recherche interventionnelle et dispositifs de soutien aux personnes touchées par un cancer et leur entourage : résultats d’une analyse descriptive

    Anne-Fleur Guillemin, Iris Cervenka, Jérôme Foucaud*

    Psycho-Oncologie, Vol.17, No.3, pp. 113-121, 2023, DOI:10.32604/po.2023.045035

    Abstract Population health intervention research (PHIR) was initiated in the field of primary prevention by proposing a research paradigm focusing on intervention and the theory of solutions. The intervention was coconstructed with the stakeholders as part of a global approach until its deployment in the local area. The development of PHIR raises the question of its application to tertiary prevention. This study proposes some initial thoughts on the similarities and specificities of PHIR projects-funded by the French National Cancer Institute (INCa)-of support systems for people affected by cancer and their families, which were based on a descriptive analysis. The selected projects… More >

  • Open Access

    ARTICLE

    Novel defined N7-methylguanosine modification-related lncRNAs for predicting the prognosis of laryngeal squamous cell carcinoma

    ZHAOXU YAO*, HAIBIN MA, LIN LIU, QIAN ZHAO, LONGCHAO QIN, XUEYAN REN, CHUANJUN WU, KAILI SUN

    BIOCELL, Vol.47, No.9, pp. 1965-1975, 2023, DOI:10.32604/biocell.2023.030796

    Abstract Objective: Through integrated bioinformatics analysis, the goal of this work was to find new, characterised N7-methylguanosine modification-related long non-coding RNAs (m7G-lncRNAs) that might be used to predict the prognosis of laryngeal squamous cell carcinoma (LSCC). Methods: The clinical data and LSCC gene expression data for the current investigation were initially retrieved from the TCGA database & sanitised. Then, using co-expression analysis of m7G-associated mRNAs & lncRNAs & differential expression analysis (DEA) among LSCC & normal sample categories, we discovered lncRNAs that were connected to m7G. The prognosis prediction model was built for the training category using univariate & multivariate COX… More >

  • Open Access

    ARTICLE

    Study on Flow Field Simulation at Transmission Towers in Loess Hilly Regions Based on Circular Boundary Constraints

    Yongxin Liu1, Huaiwei Cao2, Puyu Zhao2, Gang Yang1, Hua Yu1, Fuwei He3, Bo He2,*

    Energy Engineering, Vol.120, No.10, pp. 2417-2431, 2023, DOI:10.32604/ee.2023.029596

    Abstract When using high-voltage transmission lines for energy transmission in loess hilly regions, local extreme wind fields such as turbulence and high-speed cyclones occur from time to time, which can cause many kinds of mechanical and electrical failures, seriously affecting the reliable and stable energy transmission of the power grid. The existing research focuses on the wind field simulation of ideal micro-terrain and actual terrain with mostly single micro-terrain characteristics. Model boundary constraints and the influence of constrained boundaries are the main problems that need to be solved to accurately model and simulate complex flow fields. In this paper, a flow… More >

  • Open Access

    ARTICLE

    Research and Application of a Multi-Field Co-Simulation Data Extraction Method Based on Adaptive Infinitesimal Element

    Changfu Wan1,2, Wenqiang Li1,2,*, Sitong Ling1,2, Yingdong Liu1,2, Jiahao Chen1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 321-348, 2024, DOI:10.32604/cmes.2023.029053

    Abstract Regarding the spatial profile extraction method of a multi-field co-simulation dataset, different extraction directions, locations, and numbers of profiles will greatly affect the representativeness and integrity of data. In this study, a multi-field co-simulation data extraction method based on adaptive infinitesimal elements is proposed. The multi-field co-simulation dataset based on related infinitesimal elements is constructed, and the candidate directions of data profile extraction undergo dimension reduction by principal component analysis to determine the direction of data extraction. Based on the fireworks algorithm, the data profile with optimal representativeness is searched adaptively in different data extraction intervals to realize the adaptive… More > Graphic Abstract

    Research and Application of a Multi-Field Co-Simulation Data Extraction Method Based on Adaptive Infinitesimal Element

  • Open Access

    ARTICLE

    A Secure Device Management Scheme with Audio-Based Location Distinction in IoT

    Haifeng Lin1,2, Xiangfeng Liu2, Chen Chen2, Zhibo Liu2, Dexin Zhao3, Yiwen Zhang4, Weizhuang Li4, Mingsheng Cao5,6,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 939-956, 2024, DOI:10.32604/cmes.2023.028656

    Abstract Identifying a device and detecting a change in its position is critical for secure devices management in the Internet of Things (IoT). In this paper, a device management system is proposed to track the devices by using audio-based location distinction techniques. In the proposed scheme, traditional cryptographic techniques, such as symmetric encryption algorithm, RSA-based signcryption scheme, and audio-based secure transmission, are utilized to provide authentication, non-repudiation, and confidentiality in the information interaction of the management system. Moreover, an audio-based location distinction method is designed to detect the position change of the devices. Specifically, the audio frequency response (AFR) of several… More >

  • Open Access

    PROCEEDINGS

    Ion dynamics and Manipulation Under Extreme Confinement

    Yahui Xue1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09724

    Abstract Ion dynamics and precise control in nanochannels play key roles in biological systems, energy conversation, and environmental engineering. However, the mechanics behaviors of ions and their manipulation mechanism under extreme confinement remain largely unexplored. Biological ion channels acting as life’s transistors can gate simultaneously fast and selective ion transport through atomic-scale filters to maintain vital life functions. This biological inspiration motivates the quest for artificial structures with simultaneous functions of ion selectivity, fast transport and electrical gating at the atomic scale. Here, we experimentally investigate the ion dynamics and electrical manipulation in graphene channels of 3 angstrom size and report… More >

  • Open Access

    PROCEEDINGS

    Multiscale Modelling of Normal Fault Rupture-Soil-Foundation Interaction

    Lifan Chen1,*, Ning Guo1, Zhongxuan Yang1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09709

    Abstract A multiscale approach [1] that couples the finite-element method (FEM) and the discrete-element method (DEM) is employed to model and analyse the earthquake fault rupture-soil-foundation interaction (FR-SFI) problem. In the approach, the soil constitutive responses are obtained from DEM solutions of representative volume elements (RVEs) embedded at the FEM integration points so as to effectively bypass the phenomenological hypotheses in conventional FEM simulations. The fault rupture surfaces and shear localization patterns under normal faults with or without foundation atop have been well captured by the multiscale approach and verified with available centrifuge experimental [2] and numerical results [3]. By examining… More >

  • Open Access

    PROCEEDINGS

    A Novel Finite Difference Method for Solving Nonlinear Static Beam Equations of Wind Turbine Blade Under Large Deflections

    Hang Meng1,*, Jiaxing Wu1, Guangxing Wu1, Kai Long1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09685

    Abstract Wind energy is one of the most promising renewable energies in the world. To generate more electricity, the wind turbines are getting larger and larger in recent decades [1]. With the wind turbine size growing, the length of the blade is getting slender. The large deflections of slender wind turbine blade will inevitably lead to geometric nonlinearities [2], e.g. nonlinear coupling between torsion and deflection, which complicates the governing equations of motion. To simplify the solution of the nonlinear equations, in the current research, a novel finite-difference method was proposed to solve the nonlinear equations of static beam model for… More >

  • Open Access

    PROCEEDINGS

    Fracture of Soft Materials with Interfaces: Phase Field Modeling Based on Hybrid ES-FEM/FEM

    Shuyu Chen1,*, Jun Zeng1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.2, pp. 1-2, 2023, DOI:10.32604/icces.2023.09672

    Abstract The engineering application prospects of soft materials in key areas such as aerospace and life science have stimulated extensive research interests in the academic community. An important topic here is to predict the service and failure behavior of such materials. Although considerable progress has been made, realworld application scenarios usually involve bi-material as well as multi-material adhesion, with cohesive interface rupture as the main failure vehicle. Inconsistent asymptotic solutions in the context of large deformations pose obstacles to the establishment of a theoretical framework for the interface fracture problem in soft materials [1]. Driven by both engineering and academia, numerical… More >

  • Open Access

    ARTICLE

    Pancreas Segmentation Optimization Based on Coarse-to-Fine Scheme

    Xu Yao1,2, Chengjian Qiu1, Yuqing Song1, Zhe Liu1,*

    Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 2583-2594, 2023, DOI:10.32604/iasc.2023.037205

    Abstract As the pancreas only occupies a small region in the whole abdominal computed tomography (CT) scans and has high variability in shape, location and size, deep neural networks in automatic pancreas segmentation task can be easily confused by the complex and variable background. To alleviate these issues, this paper proposes a novel pancreas segmentation optimization based on the coarse-to-fine structure, in which the coarse stage is responsible for increasing the proportion of the target region in the input image through the minimum bounding box, and the fine is for improving the accuracy of pancreas segmentation by enhancing the data diversity… More >

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