Abstract: The invention provides compositions comprising chitosan, manuka honey and one or more additional components that promotes digestive health (e.g., inulin, probiotics) for the treatment and prevention of gastric ulcers (esophageal, stomach, or duodenum) in a mammal (e.g., equine).

Abstract: The invention provides compositions comprising chitosan, manuka honey and one or more additional components that promotes digestive health (e.g., inulin, probiotics) for the treatment and prevention of gastric ulcers (esophageal, stomach, or duodenum) in a mammal (e.g., equine).

Abstract: The invention provides compositions comprising milk thistle, dandelion root, and/or one or more antioxidant amino acids (e.g., n-acetyl L-cysteine) for the treatment and prevention of liver disease (hepatic insufficiency) in a mammal (e.g., equine). The composition may further comprise chitosan and/or additional components that prevent or treat liver disease or hepatic insufficiency (e.g., inulin, prebiotics).

Abstract: The invention provides compositions comprising chitosan, manuka honey and one or more additional components that promotes digestive health (e.g., inulin, probiotics) for the treatment and prevention of gastric ulcers (esophageal, stomach, or duodenum) in a mammal (e.g., equine).

Abstract: The invention provides compositions comprising chitosan, manuka honey and one or more additional components that promotes digestive health (e.g., inulin, probiotics) for the treatment and prevention of gastric ulcers (esophageal, stomach, or duodenum) in a mammal (e.g., equine).

Abstract: Methods, systems, and devices for language mapping are described. Some machine learning models may be trained to support multiple languages. However, word embedding alignments may be too general to accurately capture the meaning of certain words when mapping different languages into a single reference vector space. To improve the accuracy of vector mapping, a system may implement a supervised learning layer to refine the cross-lingual alignment of particular vectors corresponding to a vocabulary of interest (e.g., toxic language). This supervised learning layer may be trained using a dictionary of toxic words or phrases across the different supported languages in order to learn how to weight an initial vector alignment to more accurately map the meanings behind insults, threats, or other toxic words or phrases between languages. The vector output from this weighted mapping can be sent to supervised models, trained on the reference vector space, to determine toxicity scores.

Abstract: The present invention provides compositions and methods that promote wound healing. The invention provides a composition comprising an effective amount of a biopolymer, an antiseptic, an anti-inflammatory agent, and other agents.

Abstract: The invention provides compositions comprising chitosan, manuka honey and one or more additional components that promotes digestive health (e.g., inulin, probiotics) for the treatment and prevention of gastric ulcers (esophageal, stomach, or duodenum) in a mammal (e.g., equine).

Abstract: The invention provides compositions comprising milk thistle, dandelion root, and/or one or more antioxidant amino acids (e.g., n-acetyl L-cysteine) for the treatment and prevention of liver disease (hepatic insufficiency) in a mammal (e.g., equine). The composition may further comprise chitosan and/or additional components that prevent or treat liver disease or hepatic insufficiency (e.g., inulin, prebiotics).

Abstract: A system and method for organizing and analyzing field warranty data including a warranty interface provided with warranty data from a warranty group. The warranty interface being capable of allowing a user to select prioritization data, and then displaying a list of warranty data items related to the prioritization data by relevance. The user selects a warranty data item, and then selects a dynamic report template from a list of dynamic report templates and criteria to produce an analysis report.