Abstract: A product management computer system that can include one or more processors, and a computer-readable medium comprising instructions stored therein, which when executed by the processors, can cause the processors to: receive data representing a target product of interest to a user of the system, wherein the target product is described by a plurality of variable-value attributes associated; process the received data through a machine-learning-produced algorithm and generating data representing a first set of substitute product candidates for the target product and wherein each substitute product candidate has a corresponding match-score that represents a degree of determined similarity between that substitute product candidate and the target product; transform the generated data that represents the first set of substitute product candidates into data representing a refined set of substitute product candidates by processing the generated data utilizing a constraint-based algorithm; and output data representing

Abstract: A product management computer system that can include one or more processors, and a computer-readable medium comprising instructions stored therein, which when executed by the processors, can cause the processors to: receive data representing a target product of interest to a user of the system, wherein the target product is described by a plurality of variable-value attributes associated; process the received data through a machine-learning-produced algorithm and generating data representing a first set of substitute product candidates for the target product and wherein each substitute product candidate has a corresponding match-score that represents a degree of determined similarity between that substitute product candidate and the target product; transform the generated data that represents the first set of substitute product candidates into data representing a refined set of substitute product candidates by processing the generated data utilizing a constraint-based algorithm; and output data representing

Abstract: A computer implemented method for identifying substitute products for a target product via a distributor's product management computer system, the method includes: receiving, at a distributor's product management computer system, data representing a target product of interest to a user of the system, wherein the target product is described by a plurality of variable-value attributes associated therewith; processing the received data through a machine-learning-produced algorithm and thereby generating data representing a first set of substitute product candidates for the target product and wherein each substitute product candidate has a corresponding match-score that represents a degree of determined similarity between that substitute product candidate and the target product; transforming the generated data that represents the first set of substitute product candidates into data representing a refined set of substitute product candidates by processing the generated data utilizing a constraint-based algorithm;

Abstract: A computer method for identifying product in a distributor's inventory system that fulfills a product request made via a natural language query. the natural language query is received as a product request including multiple words in sequential order. The words are vectorized into word-vectors that are concatenated and used to generate a query embedding. The query embedding is processed utilizing a trained product category classifier that predicts which product category the requested product belongs. Forward and backward sequence vectors are generated from the sequentially ordered words of the query that are concatenated and processed using a trained model specific to the predicted product category. The sequence vectors represent positional relationships between the words of the natural language query. Thereafter, the system identifies product attribute(s) embodied in the natural language query that each correspond to a predetermined key-characteristic of the category.

Abstract: The invention disclosed herein is a novel Home Lift Position and Rehabilitation (HLPR) apparatus designed to provide stable movement along several critical axes of motion including lift capability. The HLPR apparatus is capable of moving along a desired floor path (“x-axis”), moving on a vertical axis to lift a patient (“z-axis”), rotating the HLPR apparatus itself (along an “outer rotational axis”), and rotating a patient within the HLPR apparatus while the HLPR apparatus itself remains stationary (along an “inner rotational axis”). The telescoping, double-nested C-frame structure of the HLPR apparatus and pivot assembly allow any patient support structure known in the art to be suspended securely and to move in a stable, torque-resistant manner to assist patients in rehabilitation and in independently performing activities of daily living.

Abstract: The invention disclosed herein is a novel Home Lift Position and Rehabilitation (HLPR) apparatus designed to provide stable movement along several critical axes of motion including lift capability. The HLPR apparatus is capable of moving along a desired floor path (“x-axis”), moving on a vertical axis to lift a patient (“z-axis”), rotating the HLPR apparatus itself (along an “outer rotational axis”), and rotating a patient within the HLPR apparatus while the HLPR apparatus itself remains stationary (along an “inner rotational axis”). The telescoping, double-nested C-frame structure of the HLPR apparatus and pivot assembly allow any patient support structure known in the art to be suspended securely and to move in a stable, torque-resistant manner to assist patients in rehabilitation and in independently performing activities of daily living.

Abstract: A cabled platform suspension system includes a platform having first and second support points at spaced locations along a front work-access edge of the platform and a third, stabilizing/rotator support point. A platform support structure, such as the two or four towers of a dry dock, defines first, second, third and fourth platform suspension points arranged in a substantially rectangular pattern. Six cables are connected between the platform and support structure, with five cables being respectively connected between the first and fourth suspension points and the first and second platform support points, two cables being respectively connected between the second and third suspension points and the first and second platform support points and two cables being respectively connected between the second and third suspension points and the third platform support point.

Abstract: A cabled platform suspension system includes a platform having first and second support points at spaced locations along a front work-access edge of the platform and a third, stabilizing/rotator support point. A platform support structure, such as the two or four towers of a dry dock, defines first, second, third and fourth platform suspension points arranged in a substantially rectangular pattern. Six cables are connected between the platform and support structure, with five cables being respectively connected between the first and fourth suspension points and the first and second platform support points, two cables being respectively connected between the second and third suspension points and the first and second platform support points and two cables being respectively connected between the second and third suspension points and the third platform support point.