Publications by authors named "H Son"
Article Synopsis
- Hyperspectral imaging (HSI) combined with machine learning (ML) offers a promising method for evaluating the freshness of meat by measuring fluorescence, which is closely linked to bacterial density.
- The study introduces a freshness index (FI) as a quantifiable metric for meat freshness, enabling the processing of hyperspectral data to estimate freshness even in unknown states.
- This technology could revolutionize consumer electronics, enhancing devices like refrigerators and smartphones with advanced sensing capabilities for more personalized user experiences.
Background And Purpose: The magnetic resonance images (MRIs) ability of lesion detection in epilepsy is crucial for a diagnosis and surgical outcome. Using automated artificial intelligence (AI)-based tools for measuring cortical thickness and brain volume originally developed for dementia, we aimed to identify whether it could lateralize epilepsy with normal MRIs.
Methods: Non-lesional 3-Tesla MRIs of 428 patients diagnosed with focal epilepsy, based on semiology and electroencephalography findings, were analyzed.
Plants communicate through volatile organic compounds (VOCs), but real-time monitoring of VOCs for plant intercommunication is not practically possible yet. A nanobionic VOC sensor plant is created to study VOC-mediated plant intercommunication by incorporating surface-enhanced Raman scattering (SERS) nanosensors into a living plant. This sensor allows real-time monitoring of VOC with a sensitivity down to the parts per trillion level.
View Article and Find Full Text PDFTemporomandibular disorder (TMD) is the most prevalent painful condition in the craniofacial area. Recent studies have suggested that external or intrinsic trauma to the temporomandibular joint (TMJ) is associated with the onset of painful TMD in patients. Here, we investigated the effects of TMJ trauma through forced-mouth opening (FMO) in mice to determine pain behaviors and peripheral sensitization of trigeminal nociceptors in both sexes.
View Article and Find Full Text PDFObjective: To investigate the relationship between obesity and postoperative mortality in the context of high procedural complexity and comorbidity burden.
Background: The "obesity paradox" suggests better postoperative outcomes in patients with higher body mass index (BMI), despite obesity's associated health risks. Research remains scarce on the influence of procedural complexity and comorbidities on the obesity-postoperative mortality relationship.