The increasingly complex socio-technical systems in modern businesses are forcing us to adapt our risk management models to a context of digital-organized production. This new phase of industrial digitization is bringing new opportunities and new challenges for managers and workers. A new work organization is emerging, along with new models for optimizing the allocation of labor to production activities. Three approaches are proposed in the literature: Mathematical optimization, models from work sciences, and integration of these two. Integrated analytical models are limited both by the number of variables considered and knowledge of the associated uncertainties. These models are static, not always focused on reducing risks at the source, and based on expert elicitation by unspecified protocols. Advances in this field are raising several questions regarding ethics, legality and safety.
Computers and information technology has played a pivotal role in the advancement of healthcare. Artificial Intelligence (AI) in medicine has significantly evolved over the last few decades, now making it possible to initiate its involvement in real world clinical practice. AI can also be incorporated in a personalized, integrated, adaptive and context aware environment creating the so called Ambient Intelligence (AmI). Neurology is a discipline of medicine that deals with the disorders of nervous system. Large amount of literature exist in regards to utilization of AI and AmI in several aspects of neurology. Using AmI, individual’s neurological function can be monitored around the clock for early recognition of neurological disorders. Electroencephalography and electromyography data can be interpreted by AI with high accuracy.
The purpose of this study was to assess educators’ awareness of the effects of hearing loss on a child and the resources available these children. A 10-item questionnaire regarding the effects of hearing loss on a child, awareness of different physical accommodations/modifications for a child with hearing loss, and awareness of amplification devices as well as demographic questions was sent to 9,481 educators employed in the Mississippi public schools. 735 educators responded, although less than ten percent, there are some conclusions that may be drawn on the responses that were provided. The findings support a need for additional communication of information regarding hearing loss, its effects, and amplification options. Implications of these findings for educators, audiologists, and speech-language pathologists are discussed.
The aim of this study was to evaluate the influence of age on speech perception in children implanted before 5 years of age over the first 3 years after surgery. Material and Methods: A total of 31 children are divided into 2 groups; 12 were implanted before 2 and 19 implanted between 3 and 5 years of age. Assessment battery designed to measure speech perception was used to evaluate recipients at 12, 24 and 36 months after implantation. We used the following tests: 1. Closed and open-set for monosyllabic and polysyllabic words in quiet and noise 2 and Open-set sentence in quiet. Testing was performed with recorded voice in free field. The mean value on the open-set for monosyllabic words for all patients increased with time. The difference between the values for each group at 12, 24 and 36 months was significant (p<0.001). As duration of cochlear implant use increased, speech perception also improved.
