Abstract: A computer-implemented method for generating natural language explanations of product formulations includes implementing a causal-based formulation network model within a web-based graphical, activating a target causal path of the causal-based formulation network model based on subscriber input; constructing a formulation impact explanation prompt based on a formulation outcome node and a sequence of interconnected formulation parameter nodes of the target causal path; generating, by a large language model, a natural language explanation of the target causal path based on an input of the formulation impact explanation prompt; and surfacing, by the web-based graphical user interface, the natural language explanation of the target casual path.

Abstract: A method and system for adaptively generating experimental product formulations for accelerating a formulation design of a target product includes constructing a formulation objective function based on a plurality of distinct product-informative formulation parameters of the target product; generating, via a formula-generating machine learning model, a distinct set of product formulation parameter values based on the formulation objective function; constructing a corpus of experimental findings data based on the distinct set of product formulation parameter values generated by the formula-generating machine learning model; automatically adapting the formula-generating machine learning model based on the corpus of experimental findings that accelerate the formulation design of the target product; and generating, via the adapted formula-generating machine learning model, an adapted set of product formulation parameter values that satisfies the one or more formulation objectives thereby enabling an accelerated c

Abstract: A ball valve cage insert that includes: (1) a first section including an inlet ring having a radial wall thickness varies along the longitudinal axis of the cage; (2) a second section including side ribs that define a plurality of side openings, where the width of each opening varies from a first width at a first radial distance from the longitudinal axis to a second width at a second radial distance and (3) a third section including closure ribs extending from a first point at a first radial distance from the longitudinal axis to a second point where, as measured at a given radial distance from the longitudinal axis, the width of each closure rib varies from a first circumferential width at a first point on the longitudinal axis to a second width at a second point on the longitudinal axis.

Abstract: Devices, methods and graphical user interfaces for manipulating user interfaces based on fingerprint sensor inputs are provided. An electronic device with a display and a fingerprint sensor may obtain fingerprint-verification criteria for controlling verification of fingerprints. For each of a plurality of respective inputs that correspond to respective restricted operations, the device may identify fingerprint features of the respective input. The device may determine fingerprint-verification information for the respective input. In response to detecting the respective input and in accordance with a determination that the fingerprint-verification information meets respective authorization criteria for the respective restricted operation, the device may perform the respective restricted operation.

Abstract: A ball valve cage insert that includes: (1) a first section including an inlet ring having a radial wall thickness varies along the longitudinal axis of the cage; (2) a second section including side ribs that define a plurality of side openings, where the width of each opening varies from a first width at a first radial distance from the longitudinal axis to a second width at a second radial distance and (3) a third section including closure ribs extending from a first point at a first radial distance from the longitudinal axis to a second point where, as measured at a given radial distance from the longitudinal axis, the width of each closure rib varies from a first circumferential width at a first point on the longitudinal axis to a second width at a second point on the longitudinal axis.

Abstract: A method and system for an accelerated design of a virtual product formulation based on an expert-enhanced quantitative formulation network includes sourcing qualitative expert formulation; creating a qualitative formulation network; extracting qualitative network-expansion data based on a category associated with a target product associated with the qualitative formulation network, creating a second set of network components including formulation variable nodes and formulation edge connections; integrating the second set of network components into the qualitative formulation network; transforming the qualitative formulation network integrated with the second set of network components to a quantitative formulation network; designing at least part of a virtual product formulation based on the quantitative formulation network; and generating a target formulation proposal that likely satisfies the target formulation objective based on executing the virtual product formulation as initialized.

Abstract: A method and system for implementing one or more machine learning models for accelerating formulation design for a target product that includes converting an unsupervised formulation network model to a supervised formulation network model, deriving an outcome-contributory value for each of a plurality of distinct design variables of the supervised formulation network, identifying a dependency connection between each of a plurality of distinct pairs of distinct design variables, computing a strength of connection metric value for each of the plurality of distinct pairs of distinct design variables; and generating, via a graphical user interface, a graphical rendering of the supervised formulation model that may be manipulated to accelerate for design of a proposed formulation for a target physical product.

Abstract: A method and system for an accelerated design of a virtual product formulation based on an expert-enhanced quantitative formulation network includes sourcing qualitative expert formulation; creating a qualitative formulation network; extracting qualitative network-expansion data based on a category associated with a target product associated with the qualitative formulation network, creating a second set of network components including formulation variable nodes and formulation edge connections; integrating the second set of network components into the qualitative formulation network; transforming the qualitative formulation network integrated with the second set of network components to a quantitative formulation network; designing at least part of a virtual product formulation based on the quantitative formulation network; and generating a target formulation proposal that likely satisfies the target formulation objective based on executing the virtual product formulation as initialized.

Abstract: A method and system for adaptively generating experimental product formulations for accelerating a formulation design of a target product includes constructing a formulation objective function based on a plurality of distinct product-informative formulation parameters of the target product; generating, via a formula-generating machine learning model, a distinct set of product formulation parameter values based on the formulation objective function; constructing a corpus of experimental findings data based on the distinct set of product formulation parameter values generated by the formula-generating machine learning model; automatically adapting the formula-generating machine learning model based on the corpus of experimental findings that accelerate the formulation design of the target product; and generating, via the adapted formula-generating machine learning model, an adapted set of product formulation parameter values that satisfies the one or more formulation objectives thereby enabling an accelerated c

Abstract: A method and system for implementing one or more machine learning models for accelerating formulation design for a target product that includes converting an unsupervised formulation network model to a supervised formulation network model, deriving an outcome-contributory value for each of a plurality of distinct design variables of the supervised formulation network, identifying a dependency connection between each of a plurality of distinct pairs of distinct design variables, computing a strength of connection metric value for each of the plurality of distinct pairs of distinct design variables; and generating, via a graphical user interface, a graphical rendering of the supervised formulation model that may be manipulated to accelerate for design of a proposed formulation for a target physical product.

Abstract: A parcel shelf for a vehicle includes a tray disposed between a trunk area and a cabin area of the vehicle and a soundproofing partition extending laterally between two distal portions of the tray such that the tray is partitioned into a forward region and a rearward region. The forward region includes openings and each of these openings is sealed to limit passage of sound from the trunk area into the cabin area through the forward region. The soundproofing partition is configured such that the sound from the trunk area reaching the rearward region is redirected along an extended sound pathway before entering the cabin area. A resulting sound level entering the cabin area is reduced below a defined threshold level.

Abstract: A parcel shelf for a vehicle includes a tray disposed between a trunk area and a cabin area of the vehicle and a soundproofing partition extending laterally between two distal portions of the tray such that the tray is partitioned into a forward region and a rearward region. The forward region includes openings and each of these openings is sealed to limit passage of sound from the trunk area into the cabin area through the forward region. The soundproofing partition is configured such that the sound from the trunk area reaching the rearward region is redirected along an extended sound pathway before entering the cabin area. A resulting sound level entering the cabin area is reduced below a defined threshold level.

Abstract: The present disclosure includes a battery module that includes an electrochemical cell having a minor terminal. The battery module also includes a major terminal electrically coupled to the electrochemical cell, wherein the major terminal includes a base and a post extending from the base. Further, the battery module includes an electrical path between the minor terminal of the electrochemical cell and the major terminal of the battery module. The electrical path includes a bus bar having an opening that receives the post of the major terminal and a pocket that retains the base of the major terminal.

Abstract: The present disclosure a battery module having electrochemical cells and a bus bar carrier. The bus bar carrier includes a finger having a first surface, a second surface opposite to the first surface and configured to be disposed proximate to a first electrochemical cell of the plurality of electrochemical cells, a thickness extending between the first surface and the second surface, an opening extending through the first surface, through the thickness, and through the second surface, and a cavity disposed adjacent to the opening and exposed through the second surface of the finger. The battery module also includes a lead wire passing through the opening from the first surface of the finger to the second surface of the finger, and a sensor coupled to the lead wire to enable communication between the sensor and the first electrochemical cell, wherein the sensor is disposed in the cavity.

Abstract: The present disclosure a battery module having electrochemical cells and a bus bar carrier. The bus bar carrier includes a finger having a first surface, a second surface opposite to the first surface and configured to be disposed proximate to a first electrochemical cell of the plurality of electrochemical cells, a thickness extending between the first surface and the second surface, an opening extending through the first surface, through the thickness, and through the second surface, and a cavity disposed adjacent to the opening and exposed through the second surface of the finger. The battery module also includes a lead wire passing through the opening from the first surface of the finger to the second surface of the finger, and a sensor coupled to the lead wire to enable communication between the sensor and the first electrochemical cell, wherein the sensor is disposed in the cavity.

Abstract: The present disclosure includes a battery module having a first battery cell with a first cell terminal, a second battery cell with a second cell terminal, a first adapter disposed about the first cell terminal, where the first adapter has a first recess positioned proximate to the first cell terminal, and a second adapter disposed about the second cell terminal, wherein the second adapter has a second recess positioned proximate to the second cell terminal The battery module also includes a bus bar configured to electrically couple the first cell terminal to the second cell terminal via the first and second recesses and an electrically insulative shield configured to cover the first cell terminal and the second cell terminal when the bus bar is being coupled to the first and second recesses to prevent a short circuit.

Abstract: The present disclosure includes a battery module that includes an electrochemical cell having a minor terminal. The battery module also includes a major terminal electrically coupled to the electrochemical cell, wherein the major terminal includes a base and a post extending from the base. Further, the battery module includes an electrical path between the minor terminal of the electrochemical cell and the major terminal of the battery module.

Abstract: A method for conducting consumer research includes steps of: designing efficient consumer studies to collect data suitable for reliable mathematical modeling of consumer behavior in a consumer product category. building reliable Bayesian (belief) network models (BBN) based upon direct consumer responses to the survey, upon unmeasured factor variables derived from the consumer survey responses, and upon expert knowledge about the product category and consumer behavior within the category. using the BBN to identify and quantify the primary drivers of key responses within the consumer survey responses (such as, but not limited to, rating, satisfaction, purchase intent. and using the BBN to identify and quantify the impact of changes to the product concept marketing message and/or product design on consumer behavior.

Abstract: A system for testing a battery includes a first capacitor and a second capacitor. The first capacitor and the second capacitor are configured to be arranged in series in a first arrangement and in parallel in a second arrangement. The first capacitor and the second capacitor may be cycled between the first arrangement and the second arrangement to characterize a response of a battery.

Abstract: A method for predicting the remaining life of a battery for a vehicle includes obtaining a value representative of the amount of remaining life for a battery in a new and fully charged state and monitoring at least one parameter of the battery during use of the battery. The method also includes obtaining an acceleration factor based on the at least one monitored parameter and estimating the amount of life lost from the battery utilizing the acceleration factor.