Abstract: Aspects of the present disclosure relate to systems and methods for detecting emerging events. In various examples, a method for detecting emerging events includes obtaining communication data associated with communication between multiple sources, segmenting communication data into multiple segments, determining whether a data segment belongs to a familiar topic or none, and generating a notification when a familiar topic is mentioned for more or less than a mention prediction. Additionally, or alternatively, a notification may be generated when an unfamiliar topic emerges from a set of unfamiliar data segments if an associated segment count exceeds a critical mass threshold. To determine whether a data segment belongs to a familiar topic, the data segment may be transformed into a feature vector and mapped onto a feature space, where a distance-based similarity score may be determined.

Abstract: Aspects of the present disclosure relate to evaluating a contact center agent using an automated evaluation process that employs aspects of machine learning to review pieces of content, identify context within a piece of content where a compliance statement is required, and determine if a compliance statement was given by the agent. In some embodiments, a compliance model is trained and utilized to recognize context within the customer-agent interaction indicating that a compliance statement should be given by the agent. The presence or absence of a compliance statement in the piece of content may then be evaluated by the model and reported to the contact center supervisor. The automated nature of the invention efficiently and effectively reduces the unnecessary randomness introduced by a manual review process while providing improved assurance that compliance requirements are consistently provided during customer interactions.

Abstract: Described herein are pet food compositions and methods for using them. Such compositions may comprise betaine, carnitine, and a source of medium chain triglycerides. Methods of making and using the compositions described herein are also described.

Abstract: Pet food compositions and methods are provided herein. The pet food composition comprising a from about 5 g/1000 kcal to about 80 g/1000 kcal of a fat including one or more medium chain triglyceride, wherein at least one medium chain triglyceride comprises an octanoate component, the at least one medium chain triglyceride comprising the octanoate component comprises about 7 wt. % or more of the total weight of fat in the pet food composition; from about 40 g/1000 kcal to about 150 g/1000 kcal of a protein; optionally, from about 5 g/1000 kcal to about 55 g/1000 kcal of a fiber; optionally, from about 3 g/1000 kcal to about 130 g/1000 kcal of a carbohydrate, where all metabolizable energy amounts are based on the total metabolizable energy of the pet food composition on a dry matter basis.

Abstract: Described herein are pet food compositions and methods for using them. Such compositions may comprise betaine and at least two omega-3 polyunsaturated fatty acids; wherein each of the at least two omega-3 polyunsaturated fatty acids comprise an unbranched aliphatic tail having at least 20 carbons. The methods may include feeding the pet an effective amount of the pet food composition.

Abstract: Described herein are pet food compositions comprising—in relevant part—effective amounts of betaine and carnitine. Methods of making and using these compositions are also described.

Abstract: Methods of analyzing a biological sample obtained from the feline subject for the presence of two copies of major allele G of SNP A1_212891692 and/or to the concentration of betaine and/or 2-oxoarginine in the sample are disclosed. The methods are used in methods to identify a feline subject that would benefit from a treatment that reduces risk of calcium oxalate stone formation and in methods of treating a feline subject to reduce risk of calcium oxalate stone formation The treatment on comprises administering to the feline subject a composition that comprises an effective amount of one or more of ingredients selected from the group consisting of betaine, green tea, fenugreek and tulsi. Feline food composition that comprise effective amounts of betaine, green tea, fenugreek and tulsi are disclosed.

Abstract: Methods of analyzing a biological sample obtained from the feline subject for the presence of two copies of major allele G of SNP A1_212891692 and/or to the concentration of betaine and/or 2-oxoarginine in the sample are disclosed. The methods are used in methods to identify a feline subject that would benefit from a treatment that reduces risk of calcium oxalate stone formation and in methods of treating a feline subject to reduce risk of calcium oxalate stone formation The treatment on comprises administering to the feline subject a composition that comprises an effective amount of one or more of ingredients selected from the group consisting of betaine, green tea, fenugreek and tulsi. Feline food composition that comprise effective amounts of betaine, green tea, fenugreek and tulsi are disclosed.

Abstract: Methods and apparatus for evaluating geographic market opportunity are disclosed. Embodiments of the invention provide scaled market index values that indicate relative market opportunity among geographic statistical areas. Data can be gathered from both internal sources and public sources and the data from the two types of sources can merged to create summarized data corresponding to the geographic statistical areas of interest. A linear regression can be used to determine a scoring equation and average revenue per market. The scoring equation takes into account a plurality of market variables. In example embodiments of the invention, a raw market index is calculated for each geographic statistical area using the scoring equation and the average revenue. A scaled market index can be produced for each geographic statistical area using the raw market index.