Disclosed is a method for determining of fat content of milk having variable solids fractions and flowing with variable gas content in a pipeline. The method includes ascertaining a velocity of sound and an average density value for the milk based on eigenfrequencies of at least two bending oscillation wanted modes of measuring tubes of a densimeter arranged in the pipeline. The method further includes ascertaining a static pressure in the pipeline; a gas volume fraction based on the velocity of sound; the average density; the pressure; a density of the milk without gas content based on the average density and the gas volume fraction; and a permittivity of the milk based on a propagation velocity and/or an absorption of microwaves in the milk. The fat fraction is calculated based on the density of the milk without gas content and on the effective permittivity.

Disclosed is a method for determining of fat content of milk having variable solids fractions and flowing with variable gas content in a pipeline. The method includes ascertaining a velocity of sound and an average density value for the milk based on eigenfrequencies of at least two bending oscillation wanted modes of measuring tubes of a densimeter arranged in the pipeline. The method further includes ascertaining a static pressure in the pipeline; a gas volume fraction based on the velocity of sound; the average density; the pressure; a density of the milk without gas content based on the average density and the gas volume fraction; and a permittivity of the milk based on a propagation velocity and/or an absorption of microwaves in the milk. The fat fraction is calculated based on the density of the milk without gas content and on the effective permittivity.

Embodiments disclosed include systems, apparatus, and/or methods to receive an indication of a target quality of a property associated with a bioproduct obtained from a managed livestock, the target quality being associated with an identified end-use, and generate a set of input vectors based on the target quality of the property. The systems, apparatus, and/or methods can be further configured to provide the set of input vectors to a machine learning model to generate an output indicating a feed selection and/or feed schedule selection to be used to feed the managed livestock. The feed selection can be such that, upon consumption, increase a likelihood of meeting the target quality of the property. In some embodiments, the systems, apparatus, and/or methods include implementation of features like temporal abstraction, auto-tuning of hyperparameters of model/agent, hierarchical/cognitive learning, synthetic state/trajectory generation and/or adaptive lookahead to achieve the desired output.

Embodiments disclosed include systems, apparatus, and/or methods to receive an indication of a target quality of a property associated with a bioproduct obtained from a managed livestock, the target quality being associated with an identified end-use, and generate a set of input vectors based on the target quality of the property. The systems, apparatus, and/or methods can be further configured to provide the set of input vectors to a machine learning model to generate an output indicating a feed selection and/or feed schedule selection to be used to feed the managed livestock. The feed selection can be such that, upon consumption, increase a likelihood of meeting the target quality of the property. In some embodiments, the systems, apparatus, and/or methods include implementation of features like temporal abstraction, auto-tuning of hyperparameters of model/agent, hierarchical/cognitive learning, synthetic state/trajectory generation and/or adaptive lookahead to achieve the desired output.

Described herein is a system and a method to conduct for inline estimation of milk parameters such as fat, protein, lactose, somatic cell contents (SCC), and progesterone during the milking process that can be performed real time during the milking process with a commercially acceptable level of accuracy. In one example embodiment, specific wavelengths are identified that facilitate the use of low-cost Near-Infrared (NIR) Spectrometers and sensors to develop the inline, real time estimation system, with at least two segments or ranges being identified of NIR wavelengths for determining content or composition for these key parameters.

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 for the quality control of dairy products is disclosed. The method includes scanning the surface of a dairy product test sample using a chromatic scanner system to generate a spectral pattern of reflected light intensities, which pattern is unique to the test sample. The spectral pattern from the test sample is compared with spectral patterns from one or more reference dairy products to provide an indication of test sample identify, quality and/or nutritional content.

A method for the quality control of dairy products is disclosed. The method includes scanning the surface of a dairy product test sample using a chromatic scanner system to generate a spectral pattern of reflected light intensities, which pattern is unique to the test sample. The spectral pattern from the test sample is compared with spectral patterns from one or more reference dairy products to provide an indication of test sample identify, quality and/or nutritional content.

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.