Deaf people could get'almost perfect' quality hearing from a cochlear implant which deconstructs sounds as it hears them. Researchers are developing a device which they say could significantly improve the quality of what people hear through the hearing aids. In the UK around 1,200 people have cochlear implants – which essentially connect a microphone directly to the brain to recreate hearing – fitted each year. But the current technology'sounds metallic' and needs a'significant' amount of brain training to use, according to scientists who claim their device will be better. Researchers at the University of Greenwich say they're developing a device which, instead of directly magnifying outside noises, rebuilds it to pick out key parts.
P-53 didn't look like her usual self when researchers observed her through remote camera images. Her fur was scruffy, making her face look swollen, and her eyes were squinted nearly shut. She has mange, a parasitic skin disease that causes crusting and skin lesions, the researchers determined. Jeff Sikich, a biologist studying the mountain lions, quickly recaptured P-53 and treated her, before releasing her back into the wild. Now, researchers are waiting to see how she will react to the treatment, said Kate Kuykendall, a spokeswoman for the National Park Service.
Two mountain lions kittens abandoned by their mother have died in the Santa Monica Mountains. Two mountain lions kittens abandoned by their mother have died in the Santa Monica Mountains. Two small mountain lion kittens abandoned by their mother in the Santa Monica Mountains have died, wildlife officials announced Monday. Known as P-57 and P-58, the male and female kittens were likely their mother's first litter, according to Kate Kuykendall, acting deputy superintendent for the Santa Monica Mountains National Recreation Area. Park officials know of only three other kittens that were also abandoned by their mothers, and then died.
Banerjee, Bonny (The University of Memphis) | Mendel, Lisa Lucks (The University of Memphis) | Dutta, Jayanta Kumar (The University of Memphis) | Shabani, Hasti (The University of Memphis) | Najnin, Shamima (The University of Memphis)
Cochlear implants (CIs) are an effective intervention for individuals with severe-to-profound sensorineural hearing loss. Currently, no tuning procedure exists that can fully exploit the technology. We propose online unsupervised algorithms to learn features from the speech of a severely-to-profoundly hearing-impaired patient round-the-clock and compare the features to those learned from the normal hearing population using a set of neurophysiological metrics. Experimental results are presented. The information from comparison can be exploited to modify the signal processing in a patient’s CI to enhance his audibility of speech.