This scientific commentary refers to 'A data-driven model of disability progression in progressive multiple sclerosis', by Garbarino . (https://doi.org/10.1093/braincomms/fcae434).
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11704779 | PMC |
| http://dx.doi.org/10.1093/braincomms/fcae474 | DOI Listing |
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Cracking arbitrariness: A data-driven study of auditory iconicity in spoken English.
Psychon Bull Rev
January 2025
Department of Psychology, University of Milano - Bicocca, Piazza dell'Ateneo Nuovo 1, Milan, MI, 20126, Italy.
Auditory iconic words display a phonological profile that imitates their referents' sounds. Traditionally, those words are thought to constitute a minor portion of the auditory lexicon. In this article, we challenge this assumption by assessing the pervasiveness of onomatopoeia in the English auditory vocabulary through a novel data-driven procedure.
View Article and Find Full Text PDFCampylobacter spp. in chicken meat from traditional markets in Peru and its impact measured through a quantitative microbiological risk assessment.
Food Res Int
January 2025
Department of Animal and Public Health, School of Veterinary Medicine, Universidad Nacional Mayor de San Marcos, Av. Circunvalacion 2800, San Borja 15021, Lima 41, Peru; Tropical and Highlands Veterinary Research Institute, Universidad Nacional Mayor de San Marcos, Jr. 28 de Julio s/n, Jauja, 12150, Peru; Global Health Center, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, San Martín de Porres 15102, Lima 41, Peru. Electronic address:
Campylobacter is a major cause of foodborne gastroenteritis worldwide, with the mishandling of contaminated chicken meat among the main pathways for human infection. Granted the disease burden due to this pathogen, systematic assessments of its potential impact are necessary. The aims of this study were to evaluate both presence and load of Campylobacter in chicken meat sold in traditional markets, assess risk factors related with the infrastructure and hygienic conditions of market stalls, and evaluate control strategies for campylobacteriosis in Peru through a quantitative microbiological risk assessment (QMRA), a data-driven, systematic approach to quantitatively assess risks by integrating empirical contamination levels, microbial behavior, and consumer exposure.
View Article and Find Full Text PDFIdentification of driving factors for heavy metals and polycyclic aromatic hydrocarbons pollution in agricultural soils using interpretable machine learning.
Sci Total Environ
January 2025
Guangdong Provincial Academy of Environmental Science, Guangzhou 510045, China; Guangdong Laboratory of Soil Pollution Fate and Risk Management in Earth's Critical Zone and Guangdong Key Laboratory of Contaminated Environmental Management and Remediation, Guangzhou 510045, China.
This study integrated data-driven interpretable machine learning (ML) with statistical methods, complemented by knowledge-driven discrimination diagrams, to identify the primary driving factors of heavy metal (HM) and polycyclic aromatic hydrocarbon (PAH) contamination in agricultural soils influenced by complex sources in a rapidly industrializing region of a megacity in southern China. First, the statistical characteristics of the concentrations of HMs and PAHs, and their correlations with the environmental covariates were explored. Three ML models and a statistical model comprising multiple environmental variable predictors were developed and assessed to predict the concentration of HMs in the agricultural soil.
View Article and Find Full Text PDFEvaluating interface pressure in a lower-limb prosthetic socket: Comparison of FEM and experimental measurements on a roll-over simulator.
J Biomech
January 2025
Arts et Métiers Institute of Technology, Université Sorbonne Paris Nord, IBHGC - Institut de Biomécanique Humaine Georges Charpak, HESAM Université, 151 boulevard de l'Hôpital, 75013 Paris, France. Electronic address:
Improper socket fitting in lower-limb prostheses can lead to significant complications, including pain, skin lesions, and pressure ulcers. Current suspension and socket design practices rely predominantly on visual inspection of the residual limb and patient feedback. Monitoring stress distribution at the residual limb/socket interface offers a more objective approach.
View Article and Find Full Text PDFA cognitive digital twin approach to improving driver compliance and accident prevention.
Accid Anal Prev
January 2025
School of Information Science and Technology, ShanghaiTech University, Shanghai, China; Shanghai Engineering Research Center of Intelligent Vision and Imaging, Shanghai, China. Electronic address:
Advanced Driver Assistance Systems (ADAS) are crucial for enhancing driving safety by alerting drivers to unrecognized risks. However, traditional ADAS often fail to account for individual decision-making processes, including drivers' perceptions of the environment and personal driving styles, which can lead to non-compliance with the provided assistance. This paper introduces a novel Cognitive-Digital-Twin-based Driving Assistance System (CDAS), leveraging a personalized driving decision model that dynamically updates based on the driver's control and observation actions.
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