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  • Open Access

    ARTICLE

    Assessment of Cancer-Related Fatigue Expression: Comparing the Expression of Fatigue in Patients with a History of Cancer, Patients with Other Chronic Diseases, and Healthy Individuals

    Evaluation de l’expression de la fatigue liée au cancer : comparant l’expression de la fatigue chez les patients atteints de cancer, chez les patients touchés par d’autres maladies chroniques et chez les individus en bonne santé

    Maria Inês Clara1,2,3,*, Maria Cristina Canavarro2,3, Ana Severina4, Susana Ramos4, Carla Rafael4, Ana Allen Gomes1,2,3

    Psycho-Oncologie, Vol.18, No.1, pp. 49-57, 2024, DOI:10.32604/po.2023.044320

    Abstract Aims: We aimed to compare cancer survivors’ fatigue expression with that of the general population and examine psychobiological factors associated with fatigue. Procedure: In this quantitative, transversal study, we analyzed clinical and sociodemographic indicators of 389 participants (68.38% females): 148 cancer survivors on active treatment, 55 disease-free survivors, 75 patients with another chronic disease, and 111 healthy individuals. Results: Fatigue was expressed dissimilarly in patients with a previous history of cancer and participants without a history of cancer. Survivors on active treatment reported significantly higher levels of fatigue than the other clinical status groups. Nonetheless, some level of cancer-related fatigue… More >

  • Open Access

    ARTICLE

    Evaluation of the Antibacterial and Antifungal Capacity of Nanoemulsions Loaded with Synthetic Chalcone Derivatives Di-Benzyl Cinnamaldehyde and Benzyl 4-Aminochalcone

    Flavia Oliveira Monteiro da Silva Abreu1,2,*, Taysse Holanda1, Joice Farias do Nascimento1, Henety Nascimento Pinheiro1, Rachel Menezes Castelo1, Hélcio Silva dos Santos3, Thais Benincá4, Patrícia da Silva Malheiros4, Júlio César Sousa Prado5, Raquel de Oliveira Fontenelle5, Maria Madalena de Camargo Forte2

    Journal of Renewable Materials, Vol.12, No.2, pp. 285-304, 2024, DOI:10.32604/jrm.2023.043919

    Abstract With the increase in antimicrobial resistance, it has become necessary to explore alternative approaches for combating and preventing diseases. DB-cinnamaldehyde (CNM) and Benzyl4-amino (B4AM) are bioactive compounds derived from chalcones but with restricted solubility in aqueous media. Nanoemulsions can enhance the solubility of compounds and can be a promising alternative in the development of novel antimicrobials, with reduced side effects and prolonged release. The objective of this study was to evaluate the stability of oil-in-water nanoemulsions loaded with two distinct types of chalcones at two different dosages, to propose a stable formulation with antimicrobial properties. Results showed that nanoemulsions presented… More > Graphic Abstract

    Evaluation of the Antibacterial and Antifungal Capacity of Nanoemulsions Loaded with Synthetic Chalcone Derivatives Di-Benzyl Cinnamaldehyde and Benzyl 4-Aminochalcone

  • Open Access

    ARTICLE

    A Trust Evaluation Mechanism Based on Autoencoder Clustering Algorithm for Edge Device Access of IoT

    Xiao Feng1,2,3,*, Zheng Yuan1

    CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 1881-1895, 2024, DOI:10.32604/cmc.2023.047243

    Abstract First, we propose a cross-domain authentication architecture based on trust evaluation mechanism, including registration, certificate issuance, and cross-domain authentication processes. A direct trust evaluation mechanism based on the time decay factor is proposed, taking into account the influence of historical interaction records. We weight the time attenuation factor to each historical interaction record for updating and got the new historical record data. We refer to the beta distribution to enhance the flexibility and adaptability of the direct trust assessment model to better capture time trends in the historical record. Then we propose an autoencoder-based trust clustering algorithm. We perform feature… More >

  • Open Access

    ARTICLE

    Comprehensive Evaluation of Distributed PV Grid-Connected Based on Combined Weighting Weights and TOPSIS-RSR Method

    Yue Yang1, Jiarui Zheng1, Long Cheng1,*, Yongnan Zhu2, Hao Wu2

    Energy Engineering, Vol.121, No.3, pp. 703-728, 2024, DOI:10.32604/ee.2023.044721

    Abstract To effectively quantify the impact of distributed photovoltaic (PV) access on the distribution network, this paper proposes a comprehensive evaluation method of distributed PV grid connection combining subjective and objective combination of assignment and technique for order preference by similarity to an ideal solution (TOPSIS)—rank sum ratio (RSR) (TOPSIS-RSR) method. Based on the traditional distribution network evaluation system, a comprehensive evaluation system has been constructed. It fully considers the new development requirements of distributed PV access on the environmental friendliness and absorptive capacity of the distribution grid and comprehensively reflects the impact of distributed PV grid connection. The analytic hierarchy… More >

  • Open Access

    ARTICLE

    Deep Learning Model for News Quality Evaluation Based on Explicit and Implicit Information

    Guohui Song1,2, Yongbin Wang1,*, Jianfei Li1, Hongbin Hu1

    Intelligent Automation & Soft Computing, Vol.38, No.3, pp. 275-295, 2023, DOI:10.32604/iasc.2023.041873

    Abstract Recommending high-quality news to users is vital in improving user stickiness and news platforms’ reputation. However, existing news quality evaluation methods, such as clickbait detection and popularity prediction, are challenging to reflect news quality comprehensively and concisely. This paper defines news quality as the ability of news articles to elicit clicks and comments from users, which represents whether the news article can attract widespread attention and discussion. Based on the above definition, this paper first presents a straightforward method to measure news quality based on the comments and clicks of news and defines four news quality indicators. Then, the dataset… More >

  • Open Access

    ARTICLE

    A Sound Quality Evaluation Method for Vehicle Interior Noise Based on Auditory Loudness Model

    Zhiheng He1, Hui Guo2, Houguang Liu1,*, Yu Zhao1,3, Zipeng Zhang1, Shanguo Yang1

    Sound & Vibration, Vol.58, pp. 47-58, 2024, DOI:10.32604/sv.2024.045470

    Abstract When designing and optimizing the hull of vehicles, their sound quality needs to be considered, which greatly depends on the psychoacoustic parameters. However, the traditional psychoacoustic calculation method does not consider the influence of the real human ear anatomic structure, even the loudness which is most related to the auditory periphery. In order to introduce the real physiological structure of the human ear into the evaluation of vehicle sound quality, this paper first carried out the vehicle internal noise test to obtain the experimental samples. Then, the physiological loudness was predicted based on an established human ear physiological model, and… More >

  • Open Access

    ARTICLE

    Psychological Anxiety Intervention for Young Audiences: Effectiveness Evaluation of Art Museums

    Jingjing Zhou1, Yungneng Lin2,*, Tingting Huang1

    International Journal of Mental Health Promotion, Vol.26, No.1, pp. 39-49, 2024, DOI:10.32604/ijmhp.2023.045203

    Abstract The mental health of young people, a significant public health concern worldwide, has deteriorated during the COVID-19 pandemic. Despite the subsiding of the epidemic, the issue remains unresolved in the post-pandemic era, specifically in China. In response, numerous art museums have stepped up to provide long-term therapeutic experiences and comprehensive mental health support. While these institutions offer a variety of services and programs aimed at enhancing the psychological well-being of their visitors, a standardized method for assessing their impact is lacking. This study, therefore, employed the Generic Wellbeing Questionnaire (GWQ) as a tool to evaluate the decrease in psychological anxiety… More >

  • Open Access

    REVIEW

    AI Fairness–From Machine Learning to Federated Learning

    Lalit Mohan Patnaik1,5, Wenfeng Wang2,3,4,5,6,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 1203-1215, 2024, DOI:10.32604/cmes.2023.029451

    Abstract This article reviews the theory of fairness in AI–from machine learning to federated learning, where the constraints on precision AI fairness and perspective solutions are also discussed. For a reliable and quantitative evaluation of AI fairness, many associated concepts have been proposed, formulated and classified. However, the inexplicability of machine learning systems makes it almost impossible to include all necessary details in the modelling stage to ensure fairness. The privacy worries induce the data unfairness and hence, the biases in the datasets for evaluating AI fairness are unavoidable. The imbalance between algorithms’ utility and humanization has further reinforced such worries.… More >

  • Open Access

    REVIEW

    An Overview of ETL Techniques, Tools, Processes and Evaluations in Data Warehousing

    Bilal Khan1, Saifullah Jan1,*, Wahab Khan1, Muhammad Imran Chughtai2

    Journal on Big Data, Vol.6, pp. 1-20, 2024, DOI:10.32604/jbd.2023.046223

    Abstract The extraction, transformation, and loading (ETL) process is a crucial and intricate area of study that lies deep within the broad field of data warehousing. This specific, yet crucial, aspect of data management fills the knowledge gap between unprocessed data and useful insights. Starting with basic information unique to this complex field, this study thoroughly examines the many issues that practitioners encounter. These issues include the complexities of ETL procedures, the rigorous pursuit of data quality, and the increasing amounts and variety of data sources present in the modern data environment. The study examines ETL methods, resources, and the crucial… More >

  • Open Access

    ARTICLE

    Comparison of 2D and 4D Flow MRI Measurements for Hemodynamic Evaluation of the Fontan Palliation

    Elisa Listo1,#, Nicola Martini2,#, Stefano Salvadori3, Elisa Valenti3, Nicola Stagnaro1, Gianluca Trocchio4, Chiara Marrone5, Alberto Clemente6, Francesca Raimondi7,*, Pierluigi Festa5, Lamia Ait Ali5,8,*

    Congenital Heart Disease, Vol.18, No.6, pp. 627-638, 2023, DOI:10.32604/chd.2023.030312

    Abstract Background: The assessment of Fontan circuit’s flow is traditionally evaluated by multiple through-plane phase-contrast MRI acquisitions (2D flow), while recently, a single volumetric 4D-flow MRI acquisition is emerging as a comprehensive tool for the hemodynamic evaluation in congenital heart diseases. Purpose: To compare 2D and 4D-flow MRI measurements in patients after Fontan palliation and to evaluate parameters affecting potential disagreement. Methods: 39 patients after Fontan palliation (23 males, age 22 ± 11 years) who underwent cardiac MRI with 2D and 4D-flow MRI acquisition were included in the study. In all patients, blood flow quantification in the Fontan circuit and aorta… More > Graphic Abstract

    Comparison of 2D and 4D Flow MRI Measurements for Hemodynamic Evaluation of the Fontan Palliation

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