Enhancing human computer interaction with coot optimization and deep learning for multi language identification.

Human-Computer Interaction (HCI) is a multidisciplinary field focused on designing and utilizing computer technology, underlining the interaction interface between computers and humans. HCI aims to generate systems that allow consumers to relate to computers effectively, efficiently, and pleasantly. Multiple Spoken Language Identification (SLI) for HCI (MSLI for HCI) denotes the ability of a computer system to recognize and distinguish various spoken languages to enable more complete and handy interactions among consumers and technology.

[Optic neuropathy in children and adolescents with postuveal glaucoma].

Postuveal glaucoma is a severe complication of uveitis and frequently an indirect cause of severe visual acuity disturbance. Early diagnosis and determination of the efficiency of drug therapy and indications for surgical treatment require that the presence and progression of optic neuropathy should be evaluated. Examining the topography of color and contrast sensitivity and the central visual field in patients with postuveal glaucoma and peripheral uveitis has ascertained that progression of a glaucomatous process causes a reduction in the function of dark canals and green cones with the subsequent involvement of the retinal light canals in a pathological process.

[Polypeptide bioregulators in the treatment of different-type abiotrophy of the retina].

The efficiency of retinalamin was studied in 33 patients, aged 4 to 7, with 5 types of retinal abiotrophy. The experimental group comprised children with retinal abiotrophy of Franceschetti type (36%) and mixed type (39%). The pathological process was stabilized during 18 months in all cases of developed disease.