Abstract: A system may learn what parameters are required for an item in order to compute tax for the item based on preliminary data regarding the item and/or the transaction. The system may determine a classification code based on such preliminary data and use that classification code to search or query a database storing information indicative of parameters required to compute tax for items having such a classification code. The system may map the received preliminary data into the learned required parameters and determine whether there are any required parameters for which there has not been any preliminary data mapped into them. The system may prompt the customer (e.g., seller of the item) or other user for data values of such missing required parameters or otherwise obtain data values of such parameters in order to compute the tax for the item.

Abstract: A system may learn what parameters are required for an item in order to compute tax for the item based on preliminary data regarding the item and/or the transaction. The system may determine a classification code based on such preliminary data and use that classification code to search or query a database storing information indicative of parameters required to compute tax for items having such a classification code. The system may map the received preliminary data into the learned required parameters and determine whether there are any required parameters for which there has not been any preliminary data mapped into them. The system may prompt the customer (e.g., seller of the item) or other user for data values of such missing required parameters or otherwise obtain data values of such parameters in order to compute the tax for the item.

Abstract: Some embodiments of the present disclosure may relate generally to software-based service platforms and graphical user interface (GUI) architectures for determining and presenting rule-based conclusions, along with explanations identifying the factor or factors influencing the conclusions. Other embodiments may be disclosed and/or claimed.

Abstract: Some embodiments of the present disclosure may relate generally to software-based service platforms and graphical user interface (GUI) architectures for determining and presenting rule-based conclusions, along with explanations identifying the factor or factors influencing the conclusions. Other embodiments may be disclosed and/or claimed.

Abstract: Some embodiments of the present disclosure may relate generally to software-based service platforms and graphical user interface (GUI) architectures for determining and presenting rule-based conclusions, along with explanations identifying the factor or factors influencing the conclusions. Other embodiments may be disclosed and/or claimed.

Abstract: Some embodiments of the present disclosure may relate generally to software-based service platforms and graphical user interface (GUI) architectures for determining and presenting rule-based conclusions, along with explanations identifying the factor or factors influencing the conclusions. Other embodiments may be disclosed and/or claimed.

Abstract: Some embodiments of the present disclosure may relate generally to software-based service platforms and graphical user interface (GUI) architectures for determining and presenting rule-based conclusions, along with explanations identifying the factor or factors influencing the conclusions. Other embodiments may be disclosed and/or claimed.

Abstract: A novel architecture of connections and Graphical User Interfaces (GUIs) is used to facilitate extracting a client business's data that is stored in some locations, and copying it to other locations for further processing according to digital rules.

Abstract: A system may learn what parameters are required for an item in order to compute tax for the item based on preliminary data regarding the item and/or the transaction. The system may determine a classification code based on such preliminary data and use that classification code to search or query a database storing information indicative of parameters required to compute tax for items having such a classification code. The system may map the received preliminary data into the learned required parameters and determine whether there are any required parameters for which there has not been any preliminary data mapped into them. The system may prompt the customer (e.g., seller of the item) or other user for data values of such missing required parameters or otherwise obtain data values of such parameters in order to compute the tax for the item.

Abstract: A system may learn what parameters are required for an item in order to compute tax for the item based on preliminary data regarding the item and/or the transaction. The system may determine a classification code based on such preliminary data and use that classification code to search or query a database storing information indicative of parameters required to compute tax for items having such a classification code. The system may map the received preliminary data into the learned required parameters and determine whether there are any required parameters for which there has not been any preliminary data mapped into them. The system may prompt the customer (e.g., seller of the item) or other user for data values of such missing required parameters or otherwise obtain data values of such parameters in order to compute the tax for the item.

Abstract: A low profile, coated pallet assembly constructed generally of wood, including a generally planar top platform formed of plywood, spacers to provide apertures for a forklift, bottom runners, and is completely encapsulated or coated by a polymeric material. The spacers may include a hollow or foam core to reduce pallet weight but not compromise strength. The bottom runners enhance pallet stability and strength. The polymeric material provides surface friction, resistance to surface damage, and overall integrity to provide a unitary, integral pallet assembly when a substantially uniform coating is applied after pallet components are assembled and affixed.

Abstract: A reinforced pallet assembly constructed generally of wood, including a generally planar top platform, spacers to provide apertures for a forklift, bottom runners, and is completely encapsulated by a polymeric material. The spacers may include a foam core to reduce pallet weight but not compromise strength. The bottom runners enhance pallet stability and strength. The polymeric material provides surface friction, resistance to surface damage, and overall integrity.

Abstract: Certain embodiments of the present invention provide a system for predictive notification including a notification engine adapted to receive a sequence of data values for a parameter from a medical device. The notification engine is adapted to determine a prediction based at least in part on the sequence of data values. The notification engine is adapted to generate a notification based on the prediction.

Abstract: Certain embodiments of the present invention provide a system for predictive notification including a notification engine adapted to receive a sequence of data values for a parameter from a medical device. The notification engine is adapted to determine a prediction based at least in part on the sequence of data values. The notification engine is adapted to generate a notification based on the prediction.

Abstract: Certain embodiments of the present invention provide a system for predictive notification including a notification engine adapted to receive a sequence of data values for a parameter from a medical device. The notification engine is adapted to determine a prediction based at least in part on the sequence of data values. The notification engine is adapted to generate a notification based on the prediction.

Abstract: The invention relates to gudgeon pin bushes which find application in highly-stressed engines, with the problem of a tendency to pit, in particular in the middle regions (with relation to the radial axis of the bush), on starting the motor. According to the invention, said problem can be avoided whereby the friction surfaces of a gudgeon pin bush, at least in the high loading region, have the following parameters measured over the bush cross-section in the axial direction: the support percentage is a minimum of 99.0% to a depth of at most 1.800 m, the depth of the roughness core profile is at most 0.30 m, the proportion of the material Mr1 of the roughness core profile is at most 8%. Said gudgeon pin bush can be obtained by means of a finishing for the bearing surface of the gudgeon pin bush using a surface machining method.