Abstract: A hybrid container has an integrally formed base made from a paper material and an integrally formed lid made from a plastic material. The base defines a volume with a bottom and opposing first sidewalls that form an upper peripheral rim. The base has at least two flaps, one extend from each opposing first sidewall, configured as a loop with a central opening and pivotable with respect to its first sidewall. The lid is dimensioned for positioning on the upper peripheral rim of the base and has an upper surface, opposing second sidewalls, and at least two receiving regions each formed on opposing second sidewalls and having a seat dimensioned for releasable engagement with the central opening of each flap. Each of the receiving regions is angled with respect to the upper surface of the lid to completely receive one flap when the connected to the seat.

Abstract: A system, apparatus, and/or method is disclosed for—inter alia—producing a product. One or more financial characteristics relating to one or more sample products may be received. For each of the sample products, a value for each of one or more respective properties of the sample product may be received. The received values of the one or more respective properties of the sample products, the one or more received financial characteristics relating to the sample products, and a desired financial characteristic for a potential product may be input into the machine learning model. A value for each of the one or more respective properties for the potential product may be determined based on the desired financial characteristic for the potential product. A product having the determined value for each of the one or more respective properties for the potential product may be produced.

Abstract: In some embodiments, a system for electronically validating coupons comprises a primary positive coupon database containing positive coupon data. The positive coupon data relates to one or more coupons known to the valid. The system further includes a computing system comprising a control circuit configured to execute a processing module that, when executed, receives electronic coupon data from a coupon comprising a machine-readable code, parses the electronic coupon data, compares the parsed electronic coupon data to the positive coupon data in the primary positive coupon database, and determines whether the coupon is valid by determining whether there is a match between the parsed electronic coupon data and the positive coupon data, and determining whether the coupon has expired based on an expiration date of the coupon contained in the parsed electronic coupon data and an identified expiration date.

Abstract: In some embodiments, a system for electronically validating coupons comprises a primary positive coupon database containing positive coupon data. The positive coupon data relates to one or more coupons known to the valid. The system further includes a computing system comprising a control circuit configured to execute a processing module that, when executed, receives electronic coupon data from a coupon comprising a machine-readable code, parses the electronic coupon data, compares the parsed electronic coupon data to the positive coupon data in the primary positive coupon database, and determines whether the coupon is valid by determining whether there is a match between the parsed electronic coupon data and the positive coupon data, and determining whether the coupon has expired based on an expiration date of the coupon contained in the parsed electronic coupon data and an identified expiration date.

Abstract: Systems and methods for prediction of state of charge (SOH), state of health (SOC) and other characteristics of batteries using acoustic signals, includes determining acoustic data at two or more states of charge and determining a reduced acoustic data set representative of the acoustic data at the two or more states of charge. The reduced acoustic data set includes time of flight (TOF) shift, total signal amplitude, or other data points related to the states of charge. Machine learning models use at least the reduced acoustic dataset in conjunction with non-acoustic data such as voltage and temperature for predicting the characteristics of any other independent battery.

Abstract: In some embodiments, a system for electronically validating coupons comprises a primary positive coupon database containing positive coupon data. The positive coupon data relates to one or more coupons known to the valid. The system further includes a computing system comprising a control circuit configured to execute a processing module that, when executed, receives electronic coupon data from a coupon comprising a machine-readable code, parses the electronic coupon data, compares the parsed electronic coupon data to the positive coupon data in the primary positive coupon database, and determines whether the coupon is valid by determining whether there is a match between the parsed electronic coupon data and the positive coupon data, and determining whether the coupon has expired based on an expiration date of the coupon contained in the parsed electronic coupon data and an identified expiration date.

Abstract: Systems and methods for prediction of state of charge (SOH), state of health (SOC) and other characteristics of batteries using acoustic signals, includes determining acoustic data at two or more states of charge and determining a reduced acoustic data set representative of the acoustic data at the two or more states of charge. The reduced acoustic data set includes time of flight (TOF) shift, total signal amplitude, or other data points related to the states of charge. Machine learning models use at least the reduced acoustic dataset in conjunction with non-acoustic data such as voltage and temperature for predicting the characteristics of any other independent battery.

Abstract: Systems and methods for prediction of state of charge (SOH), state of health (SOC) and other characteristics of batteries using acoustic signals, includes determining acoustic data at two or more states of charge and determining a reduced acoustic data set representative of the acoustic data at the two or more states of charge. The reduced acoustic data set includes time of flight (TOF) shift, total signal amplitude, or other data points related to the states of charge. Machine learning models use at least the reduced acoustic dataset in conjunction with non-acoustic data such as voltage and temperature for predicting the characteristics of any other independent battery.

Abstract: Systems and methods for prediction of state of charge (SOH), state of health (SOC) and other characteristics of batteries using acoustic signals, includes determining acoustic data at two or more states of charge and determining a reduced acoustic data set representative of the acoustic data at the two or more states of charge. The reduced acoustic data set includes time of flight (TOF) shift, total signal amplitude, or other data points related to the states of charge. Machine learning models use at least the reduced acoustic dataset in conjunction with non-acoustic data such as voltage and temperature for predicting the characteristics of any other independent battery.

Abstract: A method, an apparatus and a system for interrogating a battery in order to determine one or more of: (i) its state of charge (SOC), (ii) its state of health (SOH), (iii) physical state of one or more internal components or parts, which utilizes at least one sound source for transmitting a signal (e.g., a sound wave or sound pulse through or across the battery, and at least one sound receiver for receiving a signal from the battery, which received signal is representative of the physical state of the battery being interrogated. The interrogation method is noninvasive, namely does not require the depletion of a portion of the charge of the battery being tested or settlement or the destruction of the battery in order to evaluate one or more of (i), (ii) and (iii).

Abstract: A user interface for an information presentation system that displays information of interest to the user identified by the information presentation system based on selecting tasks that may be relevant to the user given the user's current context. The user interface displays options for the user to select from among relevant tasks and/or goals of completing the task. For each selected task and goal, the system may generate one or more sets of items that are relevant to completing the task. The user interface may present the user with the option to select from among the sets of items or to navigate among the sets of items. The user interface may be an easy-to-use interface on a portable computing device to support shopping applications.

Abstract: The use of visual cues associated with rendered visual items to cue a user on whether a rendered visual item has interactive capability and/or what type of interaction is possible with that visual item. The visual items may be rendered in a data driven way with each constructed using a corresponding parameterized view component. The parameter(s) are populated by data, perhaps by model variables obtained from an analytical model. The parameters then drive logic associated with the view component to thereby construct a visual item which may then be rendered. The rendering engine then renders the visual item with the visual cue. The user may then interact with the rendered visual item. Such interaction might cause some external action to occur, might change which visual items are displayed, and/or might change a value of the input parameters of one or more view components used to generate displayed visual items.

Abstract: Interactive and dynamic exploring of filter criteria for large amounts of numerical data having multiple dimensions is described. Exploration occurs without excessive amounts of computation or querying of a database based on a data set summary that may be obtained from a server in a search system and applied by a client device. A data set is summarized so as to capture relationships between distributions of items in the data set along multiple dimensions. To explore filter criteria, a user may interactively adjust a range of values that act as a filter criteria along a dimension and determine an effect on a distribution of items along another dimension. The client device may apply the data summary in reverse to determine, based on user input specifying aspects of a distribution along one dimension, filter criteria for another dimension that would result in the specified distribution.

Abstract: The rendering on a user interface of a potentially complex computerized scene generation system. The user interface includes visual item(s) that have associated data. In addition, another set of visual items may be driven by data provided to input parameters, and may represent elements in the scene. Through user gestures, a user may correlate data items in the data source visual items with the element visual items to thereby automatically populate the element visual items with data, affecting the rendering of the data-driven element visual items. The element visual items might be linked, once again, perhaps through user gestures, to a parent visual item. In so doing, properties of the parent visual item might change and/or input parameters of the element visual items might change. Accordingly, complex visual scenes may be created through potentially quite simple user gestures.

Abstract: A data search and retrieval system that, in response to a search query, applies a model to search results to generate information to be returned to a user. The model may define characteristics of a persona such that the application of the model generates information consistent with the persona. A persona may be an individual person or a group of people having shared characteristics. A user may be presented with a list of identifiers of available models of personae. When the user selects a model of a particular persona to be applied, the information generated in return to the user may be consistent with the characteristics associated with the selected persona.

Abstract: Interactive and dynamic exploring of filter criteria for large amounts of numerical data having multiple dimensions is described. Exploration occurs without excessive amounts of computation or querying of a database based on a data set summary that may be obtained from a server in a search system and applied by a client device. A data set is summarized so as to capture relationships between distributions of items in the data set along multiple dimensions. To explore filter criteria, a user may interactively adjust a range of values that act as a filter criteria along a dimension and determine an effect on a distribution of items along another dimension. The client device may apply the data summary in reverse to determine, based on user input specifying aspects of a distribution along one dimension, filter criteria for another dimension that would result in the specified distribution.

Abstract: Embodiments of the invention provide techniques for increasing the efficiency and effectiveness with which entities or entities may be compared and contrasted across one or more dimensions. Some embodiments present on a user interface (UI) a small, visually navigable collection of entities, from which the user may select a “focus” entity that may then be compared with other entities of interest. The UI may employ a visual organization scheme that organizes information on entities according to one or more dimensions, which may be predefined and/or configurable. Embodiments may facilitate rapid cognition of the manner in which information is presented and organized, and enable a user to quickly and easily discern dissimilarities and/or similarities between the focus entity and one or more other selected entities.

Abstract: Embodiments of the invention provide techniques for increasing the efficiency and effectiveness with which entities or entities may be compared and contrasted across one or more dimensions. Some embodiments present on a user interface (UI) a small, visually navigable collection of entities, from which the user may select a “focus” entity that may then be compared with other entities of interest. The UI may employ a visual organization scheme that organizes information on entities according to one or more dimensions, which may be predefined and/or configurable. Embodiments may facilitate rapid cognition of the manner in which information is presented and organized, and enable a user to quickly and easily discern dissimilarities and/or similarities between the focus entity and one or more other selected entities.

Abstract: A user interface for an information presentation system that displays information of interest to the user identified by the information presentation system based on selecting tasks that may be relevant to the user given the user's current context. The user interface displays options for the user to select from among relevant tasks and/or goals of completing the task. For each selected task and goal, the system may generate one or more sets of items that are relevant to completing the task. The user interface may present the user with the option to select from among the sets of items or to navigate among the sets of items. The user interface may be an easy-to-use interface on a portable computing device to support shopping applications.

Abstract: A data search and retrieval system that, in response to a search query, applies a model to search results to generate information to be returned to a user. The model may define characteristics of a persona such that the application of the model generates information consistent with the persona. A persona may be an individual person or a group of people having shared characteristics. A user may be presented with a list of identifiers of available models of personae. When the user selects a model of a particular persona to be applied, the information generated in return to the user may be consistent with the characteristics associated with the selected persona.