Wenxiang Dong, H. Vicky Zhao^*

CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 139-170, 2024, DOI:10.32604/cmes.2024.047156

Abstract Understanding and modeling individuals’ behaviors during epidemics is crucial for effective epidemic control. However, existing research ignores the impact of users’ irrationality on decision-making in the epidemic. Meanwhile, existing disease control methods often assume users’ full compliance with measures like mandatory isolation, which does not align with the actual situation. To address these issues, this paper proposes a prospect theory-based framework to model users’ decision-making process in epidemics and analyzes how irrationality affects individuals’ behaviors and epidemic dynamics. According to the analysis results, irrationality tends to prompt conservative behaviors when the infection risk is low but encourages risk-seeking behaviors when… More >

Feng Sheng^1,*, Chen Kong², Chao Li³

International Journal of Mental Health Promotion, Vol.26, No.3, pp. 221-228, 2024, DOI:10.32604/ijmhp.2024.030209

Abstract Objective: This study was conducted to explore the relationships among sedentary behavior (SB), electronic product addiction (EPA), and depression (D) in adolescents during the COVID-19 epidemic. Methods: A total of 604 adolescents (including 309 girls and 295 boys aged 12–18) were selected from Qufu City, Shandong Province, China for three rounds of investigation. The model was constructed using AMOS 23.0 software, and cross-lagged analysis was conducted. Results: SB at T1 can significantly positively predict SB and EPA at T2 (p < 0.05). EPA at T1 can significantly positively predict SB and D at T2 (p < 0.05). Physical activity level… More >

Mousumi Basu¹, Chitralekha Jena², Baseem Khan^3,4,*, Ahmed Ali⁴

Energy Engineering, Vol.121, No.4, pp. 849-867, 2024, DOI:10.32604/ee.2024.043294

Abstract In the restructured electricity market, microgrid (MG), with the incorporation of smart grid technologies, distributed energy resources (DERs), a pumped-storage-hydraulic (PSH) unit, and a demand response program (DRP), is a smarter and more reliable electricity provider. DER consists of gas turbines and renewable energy sources such as photovoltaic systems and wind turbines. Better bidding strategies, prepared by MG operators, decrease the electricity cost and emissions from upstream grid and conventional and renewable energy sources (RES). But it is inefficient due to the very high sporadic characteristics of RES and the very high outage rate. To solve these issues, this study… More >

Sabine Dutheil¹, Marie-Frédérique Bacqué², Kristopher Lamore^3,*

Psycho-Oncologie, Vol.18, No.1, pp. 5-7, 2024, DOI:10.32604/po.2024.050924

Abstract This article has no abstract. More >

Julien Biaudet^1,*, Lisa Laroussi-Libeault², Mauricette Michallet³, Laurie Panse², Raymond Merle⁴

Psycho-Oncologie, Vol.18, No.1, pp. 17-22, 2024, DOI:10.32604/po.2023.043536

Abstract This article aims to share an innovative experience of organizing and funding research involving those most directly affected: patients. The “ECLAIR” working group of the Canceropole Lyon Auvergne-Rhone-Alpes (CLARA) was created at the end of 2020 with the goal of contributing to the development of a call for projects on the patient experience in oncology, which was launched in January 2021. Initially composed of 8 members, including 7 patients, coordinated by a project manager from CLARA, the ECLAIR working group actively participated in drafting the specifications of the call for projects, developing the eligibility criteria for applications, revising the evaluation… More >

Lennize Pereira Paulo^1,2,*, Catherine Tourette-Turgis^1,2, Marie-Paule Vannier^1,3

Psycho-Oncologie, Vol.18, No.1, pp. 9-15, 2024, DOI:10.32604/po.2023.042981

Abstract This article presents the history and challenges of patient graduation, positioning it as a means of supporting patient engagement and user involvement in the healthcare system. A set of laws related to patient rights and healthcare quality allows for the integration of patients into the healthcare system, but they face the unpreparedness of institutions in this new field of practices. Patient graduation requires transformations in the modes of reception and financing of universities, as well as in the pedagogical methods that need to be tailored to the reception and training of individuals in vulnerable situations. The article provides a detailed… More >

Rossi Silvia^1,2,*, Sandrine de Montgolfier^1,3, Joëlle Kivits⁴

Psycho-Oncologie, Vol.18, No.1, pp. 33-41, 2024, DOI:10.32604/po.2024.042709

Abstract Aims: Health democracy requires tools and methodologies to involve non-scientific actors in the development and implementation of health policies. Storytelling could be one of the tools to make health democracy effective. Our aim is to describe how storytelling is used in relation to health democracy, the aims of its use, the methodology adopted and the results obtained. Procedure: We conducted a narrative review of the literature. Our search equation was composed by the keyword “narration” and its variations “récit de vie”, “histoire de vie” and “medécine narrative” and by the keyword “démocratie en santé” / “démocratie sanitaire”. Results: We obtained… More >

Muhammad Shoaib Arif^1,2,*, Kamaleldin Abodayeh¹, Yasir Nawaz²

CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.3, pp. 3417-3434, 2024, DOI:10.32604/cmes.2024.046944

Abstract This study focuses on the urgent requirement for improved accuracy in disease modeling by introducing a new computational framework called the Hybrid SIR-Fuzzy Model. By integrating the traditional Susceptible-Infectious-Recovered (SIR) model with fuzzy logic, our method effectively addresses the complex nature of epidemic dynamics by accurately accounting for uncertainties and imprecisions in both data and model parameters. The main aim of this research is to provide a model for disease transmission using fuzzy theory, which can successfully address uncertainty in mathematical modeling. Our main emphasis is on the imprecise transmission rate parameter, utilizing a three-part description of its membership level.… More >

Saima Rashid^1,2,*, Fahd Jarad^3,4

CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.3, pp. 2289-2327, 2024, DOI:10.32604/cmes.2023.028773

Abstract Because of the features involved with their varied kernels, differential operators relying on convolution formulations have been acknowledged as effective mathematical resources for modeling real-world issues. In this paper, we constructed a stochastic fractional framework of measles spreading mechanisms with dual medication immunization considering the exponential decay and Mittag-Leffler kernels. In this approach, the overall population was separated into five cohorts. Furthermore, the descriptive behavior of the system was investigated, including prerequisites for the positivity of solutions, invariant domain of the solution, presence and stability of equilibrium points, and sensitivity analysis. We included a stochastic element in every cohort and… More >

Tao Xu^1,*, Fangqiang Zuo¹, Kai Zheng^2,*

International Journal of Mental Health Promotion, Vol.26, No.2, pp. 93-103, 2024, DOI:10.32604/ijmhp.2023.043226

Abstract Background: This study aimed to investigate the relationship between parental educational expectations and adolescent mental health problems, with academic pressure as a moderating variable. Methods: This study was based on the baseline data of the China Education Panel Survey, which was collected within one school year during 2013–2014. It included 19,958 samples from seventh and ninth graders, who ranged from 11 to 18 years old. After removing missing values and conducting relevant data processing, the effective sample size for analysis was 16344. The OLS (Ordinary Least Squares) multiple linear regression analysis was used to examine the relationship between parental educational… More >