STATEMENT OF PROBLEM: Artificial intelligence (AI) has been applied to crown design and can produce acceptable morphology. However, occlusal morphology and contact area distribution generated by AI may differ from natural teeth. Whether they can appr... read more
Dental materials : official publication of the Academy of Dental Materials
Mar 9, 2026
OBJECTIVES: This study applied machine learning (ML) models to predict fracture toughness (K1c) of experimental ion-releasing resin-based composites and evaluated the impact of dataset size on prediction reliability. METHODS: A total of 234 K1c value... read more
The Journal of ambulatory care management
Mar 9, 2026
OBJECTIVE: Increasing proportions of adverse maternal health outcomes occur in the 12-month postpartum period and could be addressed in outpatient settings. Our objective was to develop and test an algorithm to support a population health tool to ide... read more
Food waste is a growing global concern due to the loss of essential nutrients and associated environmental impacts. Upcycling food waste into functional ingredients and nutraceuticals supports sustainability, wellness, and the circular bioeconomy. Th... read more
UNLABELLED: The interaction between maize (Zea mays) and Aspergillus species poses a huge threat to global food safety due to the production of aflatoxins, the toxic secondary metabolites that contaminate maize and pose health risks to humans and ani... read more
Implementing an effective human-robot seamless interaction (HRSI) is a critical challenge for the industrial robotics community, which requires capturing all human mental processes and turn them into suitable robot's actions. This work presents a met... read more
Recent clinical trial data show curative potential of cell therapy for diabetes, however the cells required are a bottleneck. Cell differentiation exhibits substantial variability, even among clones of stem cells generated from the same patient. Huma... read more
Sensorimotor control models traditionally consist of two types of internal models: inverse models, which compute the motor commands needed to reach a desired movement goal, and forward models, which predict the resulting sensory feedback. These model... read more
Accurate multi-temporal terrain change detection in mountainous regions is crucial for disaster monitoring and environmental management; however, it remains challenging due to the complex topography, dense vegetation, and occlusion. This study propos... read more
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