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Enhancing the performance of polyfarnesene-based bio-rubbers with surface-modified cellulose nanocrystals and nanofibers.
Sci Rep
January 2025
Research Center for Applied Chemistry, Blvd Enrique Reyna 140, San José de los Cerritos, Saltillo, 25294, Mexico.
As the rubber industry seeks sustainable alternatives to mitigate its environmental impact, this study introduces a biobased approach using polyfarnesene rubber reinforced with plasma-modified cellulose nanocrystals (MCNC) and nanofibers (MCNF). The nanocellulose was modified by plasma-induced polymerization using trans-β-farnesene and was characterized by FTIR, XPS, XRD, TGA, and SEM to confirm the grafting of farnesene-derived polymer chains onto the cellulose surface, demonstrating the successful modification and integration of the nanoparticles. Polyfarnesene bio-based rubbers were synthesized through two different polymerization techniques: solution-based coordination polymerization (PFA1) and emulsion-based free radical polymerization (PFA2).
View Article and Find Full Text PDFEndosymbionts as hidden players in tripartite pathosystem of interactions and potential candidates for sustainable viral disease management.
Crit Rev Biotechnol
January 2025
Key Laboratory of Agricultural Microbiology, College of Agriculture, Guizhou University, Guiyang, P.R. China.
The convoluted relationships between plants, viruses, and arthropod vectors housing bacterial endosymbionts are pivotal in the spread of harmful plant viral diseases. Endosymbionts play key roles in: manipulating host responses, influencing insect resistance to pesticides, shaping insect evolution, and bolstering virus acquisition, retention, and transmission. This interplay presents an innovative approach for developing sustainable strategies to manage plant diseases.
View Article and Find Full Text PDFHome math environment as a mediator of socioeconomic differences in early math skills: A study of Chinese families from disparate backgrounds.
Dev Psychol
January 2025
Lynch School of Education and Human Development, Boston College.
Children exhibit substantial variation in their early math skills, with pronounced achievement gaps by socioeconomic status (SES) observable even before formal schooling. These SES-related differences in math skills are long-standing and globally observed, prompting investigations into how SES variations in home math environment contribute to early math development. The present study employed a mixed-methods design to examine the relations among SES, key aspects of home math environment, and early math skills in a non-Western context.
View Article and Find Full Text PDFMultimodal machine learning for analysing multifactorial causes of disease-The case of childhood overweight and obesity in Mexico.
Front Public Health
January 2025
Karolinska Institutet, Department of Medicine Solna, Division of Clinical Epidemiology, Stockholm, Sweden.
Background: Mexico has one of the highest global incidences of paediatric overweight and obesity. Public health interventions have shown only moderate success, possibly from relying on knowledge extracted using limited types of statistical data analysis methods.
Purpose: To explore if multimodal machine learning can enhance identifying predictive features from obesogenic environments and investigating complex disease or social patterns, using the Mexican National Health and Nutrition Survey.
Case report: Surgical closure of a facial defect in an African wild dog () utilizing a transpositional skin flap.
Front Vet Sci
January 2025
College of Veterinary Medicine, Michigan State University, East Lansing, MI, United States.
Veterinary intervention in zoological species can be complicated by species-specific social dynamics. African wild dogs are a pack species and removal or separation of an individual may disrupt established pack hierarchy resulting in conspecific aggression. Therefore, medical interventions that optimize a quick return to health are ideal to minimize the duration of absence from the pack.
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