This study deals with the analytical modeling of hybrid fiber-reinforced concretes (HyFRCs) made with a blend of different types of fibers characterized by different geometries and/or constitutive materials. The presented analytical formulation is oriented towards predicting the postcracking behavior of HyFRC and is mainly based on the well-known "cracked-hinge" model originally employed for standard fiber-reinforced concrete beams. The proposed model is validated by considering the experimental results obtained in a previous study carried out on HyFRCs mixtures made with a blend of steel and polypropylene fibers. Theoretical results are presented to demonstrate the predictive capabilities of the model to simulate the observed experimental behavior. The model performance is in very good agreement with the experimental data. Therefore, it has the capability to forecast the postcracking behavior of a generic HyFRC of given fiber contents depending on the actual proportion of the fiber blend. Finally, the proposed formulation can be applied as a computational aid to the design of HyFRC mixtures for structural purposes.
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http://dx.doi.org/10.3390/polym12091864 | DOI Listing |
G3 (Bethesda)
January 2025
Infectious Disease Epidemiology and Analytics G5 Unit, Institut Pasteur, Université Paris Cité, Paris 75015, France.
Genetic studies of Plasmodium parasites increasingly feature relatedness estimates. However, various aspects of malaria parasite relatedness estimation are not fully understood. For example, relatedness estimates based on whole-genome-sequence (WGS) data often exceed those based on sparser data types.
View Article and Find Full Text PDFPsychol Bull
January 2025
Department of Kinesiology, University of North Carolina at Greensboro.
This meta-review provides the first meta-analytic evidence from published meta-analyses examining the effectiveness of acute exercise interventions on cognitive function. A multilevel meta-analysis with a random-effects model and tests of moderators were performed in R. Thirty systematic reviews with meta-analyses (383 unique studies with 18,347 participants) were identified.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Analytical Research & Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States.
The screening of chemical libraries is an essential starting point in the drug discovery process. While some researchers desire a more thorough screening of drug targets against a narrower scope of molecules, it is not uncommon for diverse screening sets to be favored during the early stages of drug discovery. However, a cost burden is associated with the screening of molecules, with potential drawbacks if particular areas of chemical space are needlessly overrepresented.
View Article and Find Full Text PDFAnn Med
December 2025
College of Public Health, Institute of Health Data Analytics and Statistics, National Taiwan University, Taipei, Taiwan.
Background: Despite global declines in cervical cancer incidence, certain regions observe unexpected rising trends among younger generations.
Methods: This study uses the age-period-cohort model to examine long-term incidence trends of invasive cervical cancer in Taiwan. Data were sourced from the Taiwan Cancer Registry.
J Sports Sci
January 2025
Complexité, Innovation & Activités Motrices et Sportives (CIAMS), Sciences et Techniques des Activités Physiques et Sportives, Université d´Orléans, Orléans, France.
Kahneman's dual-process model postulates that two systems are involved in decision-making: slow thinking, defined as analytical processing of information, and fast thinking, where decisions emerge from intuitive, automatic responses. Climbers in Olympic bouldering typically engage in slow thinking to interpret movements and explore climbing strategies. However, time constraints imposed by regulations, combined with ineffective decision-making and failed climbing attempts, may compel them to make more intuitive, fast decisions.
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