Abstract: An image compression apparatus includes: an image acquisition unit configured to acquire a raw data image; a pre-processing network configured to receive the raw data image and pre-process the raw data image according to a pattern estimation method learned beforehand; and an encoder unit configured to receive the pre-processed image and compress the pre-processed image according to a pre-designated standard compression technique to output a compressed image. The pre-processing network, which can be added during learning and can be implemented as an artificial neural network, can have learned beforehand by way of a backpropagation of a restoration error through a codec modeling unit that has learned beforehand to simulate a standard codec unit, where the restoration error can be obtained by comparing a restored image obtained based on a simulated decoded image with the raw data image.

Abstract: The present invention provides methods and compositions for inducing expression of Ube3a in a cell and treating Angelman syndrome in a subject.

Abstract: The present invention relates to biomarkers capable of diagnosing various brain and nervous system diseases, and a method of providing information for diagnosing brain and nervous system diseases using the same. According to the present invention, it is possible to diagnose, at an early stage, the onset of a brain and nervous system disease or the likelihood of developing the disease or diagnose the progress or prognosis of the disease or the therapeutic effect against the disease, by measuring the expression level of the biomarker protein of the present invention or a gene encoding the same in the aqueous humor of the eye.

Abstract: An image compression apparatus includes: an image acquisition unit configured to acquire a raw data image; a pre-processing network configured to receive the raw data image and pre-process the raw data image according to a pattern estimation method learned beforehand; and an encoder unit configured to receive the pre-processed image and compress the pre-processed image according to a pre-designated standard compression technique to output a compressed image. The pre-processing network, which can be added during learning and can be implemented as an artificial neural network, can have learned beforehand by way of a backpropagation of a restoration error through a codec modeling unit that has learned beforehand to simulate a standard codec unit, where the restoration error can be obtained by comparing a restored image obtained based on a simulated decoded image with the raw data image.

Abstract: The invention provides pharmaceutical compositions and methods of use thereof for treating Prader-Willi syndrome. More specifically, the invention provides pharmaceutical compositions that when administered inhibit the G9a driven methylation of histone H3 lysine 9.

Abstract: The invention provides pharmaceutical compositions and methods of use thereof for treating Prader-Willi syndrome. More specifically, the invention provides pharmaceutical compositions that when administered inhibit the G9a driven methylation of histone H3 lysine 9.

Abstract: The invention provides pharmaceutical compositions and methods of use thereof for treating Prader-Willi syndrome. More specifically, the invention provides pharmaceutical compositions that when administered inhibit the G9a driven methylation of histone H3 lysine 9.