At least one property of a complex liquid is determined utilizing first and second sensing devices for measuring a respective first and second physical parameter of the liquid and generating respective first and second measured data indicative thereof. A control unit connectable to the sensing devices is used for analyzing the first and second measured data and determining the at least one property of the complex liquid. The first measured data may be responsive to a relatively low-frequency electric or electromagnetic field induced in the liquid, and the second measured data may be a response of the liquid to a relatively high-frequency external electromagnetic field applied to it.

An optical milk measuring arrangement operative during a milking operation, and including an optical measuring device for measuring optical properties of milk in a measuring region, in which at least part of the milk fed to the measuring arrangement collects. The measuring arrangement includes a main channel and a measuring channel, and these channels are in fluid communication with one another in a region of a common inlet and a common outlet, and the measuring channel has a lower flow velocity than a flow velocity in the main channel.

A method for measuring one or more quantities characterizing a composition of a medium includes causing a first non-uniform spatially varying optical signal to impinge on a portion of the medium, processing a second optical signal emitted from the medium in response to the first optical signal including determining characteristics of a spatial variation of the second optical signal, and determining the one or more quantities characterizing the composition of the medium based on the characteristics of the spatial variation of the second optical signal.

A method for measuring one or more quantities characterizing a composition of a medium includes causing a first non-uniform spatially varying optical signal to impinge on a portion of the medium, processing a second optical signal emitted from the medium in response to the first optical signal including determining characteristics of a spatial variation of the second optical signal, and determining the one or more quantities characterizing the composition of the medium based on the characteristics of the spatial variation of the second optical signal.

In some aspects, the disclosure relates to compositions and methods useful for the diagnosis and treatment of neurodegenerative diseases, such as leukodystrophies (e.g., Canavan Disease). In some embodiments, the methods comprise administering to a subject an N-acetylaspartate (NAA)-depleting agent or an N-acetylaspartate (NAA)-depleting agent based upon the subject's metabolic profile.

In some aspects, the disclosure relates to compositions and methods useful for the diagnosis and treatment of neurodegenerative diseases, such as leukodystrophies (e.g., Canavan Disease). In some embodiments, the methods comprise administering to a subject an N-acetylaspartate (NAA)-depleting agent or an N-acetylaspartate (NAA)-depleting agent based upon the subject's metabolic profile.

A method of calibrating a sensors in a system for obtaining animal data from animals is described. The sensors are configured to obtain measurements of an animal related parameter during arbitrary visits by the animal to the sensors. For at least one of the animals, a first measurement associated with a first sensor of the sensors is obtained, and calculating one or more relations between the first measurement and one or more second measurements associated with the respective animal. Each of the second measurements is obtained using a further sensor, so as to obtain at least one representative relation for each combination of the first sensor and each one of the further sensors. The system calculates, based on the at least one representative relation, a correction factor associated with at least one sensor of the plurality of sensors.

A method of calibrating a sensors in a system for obtaining animal data from animals is described. The sensors are configured to obtain measurements of an animal related parameter during arbitrary visits by the animal to the sensors. For at least one of the animals, a first measurement associated with a first sensor of the sensors is obtained, and calculating one or more relations between the first measurement and one or more second measurements associated with the respective animal. Each of the second measurements is obtained using a further sensor, so as to obtain at least one representative relation for each combination of the first sensor and each one of the further sensors. The system calculates, based on the at least one representative relation, a correction factor associated with at least one sensor of the plurality of sensors.

Described herein is a method for predicting the methane (CH.sub.4) emission of a dairy cow, the method including: a) determining the total amount of milk of a dairy cow per one day; b) determining the energy corrected milk value (ECM) of the milk of the dairy cow of the same day); c) determining the percentage amount of saturated fatty acids (SFAs) of the total milk fat of the dairy cow of the same day) and the percentage amount of stearic acid (C18:0) of the total milk fat of the dairy cow of the same day; d) calculating the daily amount of methane emitted by the dairy cow based on the ECM as determined according to b), the percentage amount of SFAs of the total milk fat as determined according to c), and the percentage amount of C18:0 of the total milk fat as determined according to c).

Described herein is a method for predicting the methane (CH.sub.4) emission of a dairy cow, the method including: a) determining the total amount of milk of a dairy cow per one day; b) determining the energy corrected milk value (ECM) of the milk of the dairy cow of the same day); c) determining the percentage amount of saturated fatty acids (SFAs) of the total milk fat of the dairy cow of the same day) and the percentage amount of stearic acid (C18:0) of the total milk fat of the dairy cow of the same day; d) calculating the daily amount of methane emitted by the dairy cow based on the ECM as determined according to b), the percentage amount of SFAs of the total milk fat as determined according to c), and the percentage amount of C18:0 of the total milk fat as determined according to c).