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 >

Guillaume Broc^1,*, Julien Carretier^2,3, Sabrina Rouat⁴, Laure Guittard^5,6, Julien Péron^7,8, Béatrice Fervers^3,9, Laurent Letrilliart^6,10, Philippe Sarnin⁴, Jean-Baptiste Fassier^11,12, Marion Lamort-Bouché^6,10

Psycho-Oncologie, Vol.17, No.3, pp. 167-179, 2023, DOI:10.32604/po.2023.044730

Abstract Aims: Return to work (RTW) after breast cancer is a complex process that questions the individual trajectories of patients and stakeholders. Program planning in this context requires relying on appropriate methods like Intervention Mapping (IM) which encompasses such complexity. The aim of the methodological study is to describe an application of IM for both the design and production of a patient guide supporting RTW after breast cancer. Procedure: According to IM, the guide was co-constructed with a Community Advisory Board (CAB) of stakeholders (patients/associations, health professionals, companies, institutions) after considering other options (interactive website, mobile application). The design was done… More >

Shu Dai^1,*, Bert Sweetman²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09687

Abstract Short-term wind process is normally assumed to be a Gaussian distribution, such as TurbSim, the widely used 3D wind field tool. Nowadays, newest researches indicate that non-Gaussian wind model is believed to be more accurate according to the field observation data. A new numerical method is proposed to generate non-Gaussian wind filed using translation process theory and spectral representation method. This study presents a comprehensive investigation on power production and blades fatigue damage of floating offshore wind turbines (FOWTs) to the non-Gaussian wind field. The comparisons of Gaussian and non-Gaussian simulation results indicate that the non-Gaussian wind fields will cost… More >

Ali Ahmadi Shahrakht¹, Parisa Hajirahimi², Omid Rostami³, Diego Martín^4,*

Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 3059-3081, 2023, DOI:10.32604/iasc.2023.040502

Abstract As the internet of things (IoT) continues to expand rapidly, the significance of its security concerns has grown in recent years. To address these concerns, physical unclonable functions (PUFs) have emerged as valuable tools for enhancing IoT security. PUFs leverage the inherent randomness found in the embedded hardware of IoT devices. However, it has been shown that some PUFs can be modeled by attackers using machine-learning-based approaches. In this paper, a new deep learning (DL)-based modeling attack is introduced to break the resistance of complex XAPUFs. Because training DL models is a problem that falls under the category of NP-hard… More >

Shuaijun Wang¹, Wenqiong Tu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09926

Abstract Cellulose nanofibrils (CNFs) and the continuously assembled microfibers have shown transversely isotropic behavior in many studies. Due to fact that the size of CNFs and the assembled microfibers is at the nano and micro scale, respectively, the characterization of their mechanical properties is extremely challenge. That greatly hinders the accurate multi-scale modeling and design of CNFs-based materials. In our study, we have characterized the elastic constants of both CNFs microfibers and CNFs through a Multi-scale Optimization Inversion technology. Through the tensile test of CNFs microfibers reinforced resin with different volume fractions and the micromechanics model of microfibers reinforced resin, the… More >

Pai Liu^1,*, Weida Wu¹, Yangjun Luo¹, Yifan Zhang¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09893

Abstract Lightweight metamaterials with negative Poisson’s ratios (NPRs) have great potential for controlling deformation, absorbing energy, etc. The topology optimization [1] technique is an effective way to design metamaterials. However, as studied in [2], the NPR metamaterial configuration obtained under small deformation assumption may not maintain the desired Poisson’s ratio under relatively large deformation conditions. This paper focuses on the large-deformation NPR metamaterial design based on a gradient-free topology optimization method, i.e. the material-field series expansion (MFSE) method [3]. The metamaterial’s performance is evaluated using the finite element method, taking into account the geometry nonlinearity. By considering the spatial correlation of… More >

Van-Son Huynh¹, Thanh-Thao Ly¹, My-Tien Nguyen-Thi^1,*, Xuan Thanh Kieu Nguyen², Gallayaporn Nantachai^3,4, Vinh-Long Tran-Chi¹

International Journal of Mental Health Promotion, Vol.25, No.9, pp. 1019-1031, 2023, DOI:10.32604/ijmhp.2023.029235

Abstract Religion is one of the social entities that has had a significant impact on the pandemic. The study’s goals are to investigate the relationship between well-being and fear of COVID-19, as well as to test whether religious beliefs mediate the effect of wellbeing on fear of COVID-19. The sample comprised of 433 participants in Vietnam. Independent Sample t-Test, One-way ANOVA, mediation analysis were used to analyze the data. In the levels of well-being, individuals who engage in religious services daily have higher levels than those hardly and never attend, and people from the age of 18 to 30 have higher… More >

Zhonghao Qian¹, Hanyi Ma¹, Jun Rao², Jun Hu¹, Lichengzi Yu^2,*, Caoyi Feng¹, Yunxu Qiu¹, Kemo Ding¹

Energy Engineering, Vol.120, No.9, pp. 2013-2027, 2023, DOI:10.32604/ee.2023.028859

Abstract The lack of reactive power in offshore wind farms will affect the voltage stability and power transmission quality of wind farms. To improve the voltage stability and reactive power economy of wind farms, the improved particle swarm optimization is used to optimize the reactive power planning in wind farms. First, the power flow of offshore wind farms is modeled, analyzed and calculated. To improve the global search ability and local optimization ability of particle swarm optimization, the improved particle swarm optimization adopts the adaptive inertia weight and asynchronous learning factor. Taking the minimum active power loss of the offshore wind… More >

Huanan Yu¹, Gang Han^1,*, Hansong Luo², He Wang¹

Energy Engineering, Vol.120, No.9, pp. 2029-2057, 2023, DOI:10.32604/ee.2023.028365

Abstract Aiming at the problem that most of the cables in the power collection system of offshore wind farms are buried deep in the seabed, which makes it difficult to detect faults, this paper proposes a two-step fault location method based on compressed sensing and ranging equation. The first step is to determine the fault zone through compressed sensing, and improve the data measurement, dictionary design and algorithm reconstruction: Firstly, the phase-locked loop trigonometric function method is used to suppress the spike phenomenon when extracting the fault voltage, so that the extracted voltage value will not have a large error due… More >

Mengmeng Yan¹, Chuang Zhang^1,2,*, Jinqi Chu¹, Haichao Zhang¹, Tao Ge¹, Suting Chen¹

Computer Systems Science and Engineering, Vol.47, No.2, pp. 1433-1449, 2023, DOI:10.32604/csse.2023.040132

Abstract An action recognition network that combines multi-level spatiotemporal feature fusion with an attention mechanism is proposed as a solution to the issues of single spatiotemporal feature scale extraction, information redundancy, and insufficient extraction of frequency domain information in channels in 3D convolutional neural networks. Firstly, based on 3D CNN, this paper designs a new multilevel spatiotemporal feature fusion (MSF) structure, which is embedded in the network model, mainly through multilevel spatiotemporal feature separation, splicing and fusion, to achieve the fusion of spatial perceptual fields and short-medium-long time series information at different scales with reduced network parameters; In the second step,… More >