Abstract: Systems and methods for AI assisted analysis of a user experience study are provided. A study objective (a goal of the study) and data relating to all possible navigation routes within a digital interface are received. Simulated clickstreams for navigating from any state of the digital interface to the study objective are generated. This simulated clickstream data is then used to train one or more machine learning models to determine a most efficient path to achieve the study objective from any state of the digital interface. Subsequently, study results from many different participants is received. Key events are then identified within the study results. Additionally, the likelihood of failure for each of the plurality of study results is predicted using the machine learning model, and information density of the plurality of study results is determined.

Abstract: Systems and methods for AI assisted analysis of a user experience study are provided. A study objective (a goal of the study) and data relating to all possible navigation routes within a digital interface are received. Simulated clickstreams for navigating from any state of the digital interface to the study objective are generated. This simulated clickstream data is then used to train one or more machine learning models to determine a most efficient path to achieve the study objective from any state of the digital interface. Subsequently, study results from many different participants is received. Key events are then identified within the study results. Additionally, the likelihood of failure for each of the plurality of study results is predicted using the machine learning model, and information density of the plurality of study results is determined.

Abstract: Systems and methods for AI assisted analysis of a user experience study are provided. A study objective (a goal of the study) and data relating to all possible navigation routes within a digital interface are received. Simulated clickstreams for navigating from any state of the digital interface to the study objective are generated. This simulated clickstream data is then used to train one or more machine learning models to determine a most efficient path to achieve the study objective from any state of the digital interface. Subsequently, study results from many different participants is received. Key events are then identified within the study results. Additionally, the likelihood of failure for each of the plurality of study results is predicted using the machine learning model, and information density of the plurality of study results is determined.

Abstract: Systems and methods for AI assisted analysis of a user experience study are provided. A study objective (a goal of the study) and data relating to all possible navigation routes within a digital interface are received. Simulated clickstreams for navigating from any state of the digital interface to the study objective are generated. This simulated clickstream data is then used to train one or more machine learning models to determine a most efficient path to achieve the study objective from any state of the digital interface. Subsequently, study results from many different participants is received. Key events are then identified within the study results. Additionally, the likelihood of failure for each of the plurality of study results is predicted using the machine learning model, and information density of the plurality of study results is determined.

Abstract: Disclosed herein are new crystalline forms of valbenazine ditosylate designated Form D and Form E, which are characterized using one or more analytical methods, such as X-ray Powder Diffraction analysis. Further disclosed herein are crystalline Form D valbenazine ditosylate in the form of a dichloromethane solvate, and crystalline Form E valbenazine ditosylate in the form of a hydrate. Also disclosed are pharmaceutical compositions comprising these new crystalline forms, and methods of using those compositions for the treatment of various disease states and conditions, including hyperkinetic disorder, such as drug-induced tardive dyskinesia and Tourette's syndrome.

Abstract: The present disclosure relates to a method and system for the preservation and regeneration of pre-baked bread. The method comprises a preservation phase including the steps of enclosing the pre-baked bread in a receptacle capable of withstanding high temperatures, and hermetically enclosing the receptacle in an atmosphere conducive to the preservation of the pre-baked bread. The method may further include the step of heating the receptacle containing the pre-baked bread. The system comprises a packaging for preservation of pre-baked bread, including a receptacle for containing the pre-baked bread, the receptacle being capable of withstanding high temperatures. The packaging also comprises an enclosure for hermetically enclosing the receptacle, the enclosure containing a gas conducive to the preservation of pre-baked bread, such as CO2. The system may also include an oven configured to heat the receptacle and pre-baked bread at a temperature between about 100 degrees and 250 degrees Celsius.

Abstract: A new process for the preparation of Ropinirole (1) and pharmaceutically acceptable hydrochloride salt thereof comprising reacting the compound (V) with nitromethane to obtain the compound of formula (II), which is reduced to compound (III) and alkylated to obtain compound (IV).

Abstract: A new process for the preparation of Ropinirole (1) and pharmaceutically acceptable hydrochloride salt thereof comprising reacting the compound (V) with nitromethane to obtain the compound of formula (II), which is reduced to compound (III) and alkylated to obtain compound (IV). The oxidation of the indole ring provides the compound of formula (I).