Abstract: A pharmaceutical composition comprising at least a probiotic and at least a carotene, for the treatment of dysbiosis of the intestinal microbiota, is disclosed. The association of these ingredients allowed to obtain a clear synergistic effect.

Abstract: The invention relates to the use of a very low dosage form of abscisic acid (ABA) or an in vivo hydrolysable conjugate thereof, preferably ABA-glucosyl ester (ABA-GE), for nutracentic/therapeutic use for controlling and/or preventing hyperglycaemia and weight gain in response to sugar intake with a reduction in insulin secret and an increase in muscle performance.

Abstract: A pharmaceutical composition comprising at least a probiotic and at least a carotene, for the treatment of dysbiosis of the intestinal microbiota, is disclosed. The association of these ingredients allowed to obtain a clear synergistic effect.

Abstract: The invention relates to the use of a very low dosage form of abscisic acid (ABA) or an in vivo hydrolysable conjugate thereof, preferably ABA-glucosyl ester (ABA-GE), for nutracentic/therapeutic use for controlling and/or preventing hyperglycaemia and weight gain in response to sugar intake with a reduction in insulin secret and an increase in muscle performance.

Abstract: A method comprising, receiving digital-electrical input symbols of a stream of input symbols, the input symbols corresponding to signal points of a symbol constellation. The method also comprises classifying the input symbols, wherein a first symbol class comprises input symbols corresponding to signal points that are variant to rotation of the symbol constellation, and, a second symbol class comprises input symbols corresponding to signal points that are invariant to rotation of the symbol constellation. The method also comprises applying selective differential coding only to those input symbols of the first symbol class.

Abstract: A method comprising, receiving digital-electrical input symbols of a stream of input symbols, the input symbols corresponding to signal points of a symbol constellation. The method also comprises classifying the input symbols, wherein a first symbol class comprises input symbols corresponding to signal points that are variant to rotation of the symbol constellation, and, a second symbol class comprises input symbols corresponding to signal points that are invariant to rotation of the symbol constellation. The method also comprises applying selective differential coding only to those input symbols of the first symbol class.