Abstract:
An apparatus for generating a digital assistant is disclosed. The apparatus include at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive at least one user query from a user. The memory instructs the processor to extract a plurality of background data and a plurality of contextual data from the user dataset. The memory instructs the processor to receive at least one user query from a user. The memory instructs the processor to generate a query response as a function of the at least one user query and the contextual data using the digital assistant. The memory instructs the processor to display the query response using the digital assistant on a display device.
Abstract:
An apparatus for generating a digital assistant is disclosed. The apparatus include at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive at least one user query from a user. The memory instructs the processor to extract a plurality of background data and a plurality of contextual data from the user dataset. The memory instructs the processor to receive at least one user query from a user. The memory instructs the processor to generate a query response as a function of the at least one user query and the contextual data using the digital assistant. The memory instructs the processor to display the query response using the digital assistant on a display device.
Abstract:
An apparatus and method for fracking optimization, wherein the apparatus includes at least a processor, and a memory, wherein the memory containing instructions configuring the at least a processor to receive a reservoir datum from at least a sensing device, generate a production training data include a plurality of reservoir datums as input correlated to a plurality of optimal production parameters as output, train a fracking optimization machine-learning model using the production training data, determine an optimal production parameter as a function of the fracking optimization machine-learning model, and generating an optimal production plan as a function of the optimal production parameter.
Abstract:
An apparatus for multi-stage fracking, wherein the apparatus includes a pump configured to pump a fracking fluid into a rock region comprises a plurality of rock zones, and a computing device communicatively connected to the pump, wherein the computing device includes at least a processor, and a memory communicatively connected to the at least a processor containing instructions configuring the at least a processor to receive reservoir data, determine an optimal fracking stimulation parameter as a function of the reservoir data, identify a fracking stage as a function of the optimal fracking stimulation parameter, and adjust a pump configuration of the pump as a function of the fracking stage.
Abstract:
A machine for exercising and rehabilitating the rotator cuff muscles that allows the user to easily isolate and manipulate, from a standing position, the internal and external rotation of the Rotator cuff with an outstretched arm, at any angle, to strengthen the Rotator Cuff muscles. Additionally it allows the user to strengthen the Pronation, Supination, Radial Deviation and Ulnar Deviation of the wrist.The aforementioned machine is comprised of a main rotating handle apparatus that consists of a gear joint, a ratchet mechanism and an angle adjustment pin. The handle is secured to linear rails that allow for height adjustment. The main rotating handle apparatus is connected to a stack of weights for resistance via a rubber coated steel cable and pulleys as well as connected to two counter weights via rubber coated steel cables and pulleys that relieve the weight of the handle for ease of adjustment.
Abstract:
A system includes a prime engine connected to a prime engine exhaust stack that receives prime engine exhaust, a mixing duct section connected to the prime engine exhaust stack, a head-end power (HEP) generator connected to an HEP generator exhaust pipe that receives HEP generator exhaust, a single urea injector, and a selective catalytic reduction (SCR) system. The HEP generator exhaust pipe is connected to the mixing duct section, and the single urea injector injects urea into the HEP generator exhaust pipe upstream of the mixing duct section. The HEP generator exhaust and prime engine exhaust merge in the mixing duct section to form a merged exhaust that is received by the SCR system.
Abstract:
The present invention relates generally to a method for the treatment and/or prophylaxis of osteoarthritis (OA) and/or pain. In accordance with the present invention, an antagonist of c-Fms is effective in the treatment of osteoarthritis and/or pain. An antagonist of M-CSF includes, but is not limited to, an antibody that is specific for M-CSF, IL-34 or c-Fms.
Abstract:
A modular locomotive UC storage system includes: at least one cabinet section in a locomotive; a plurality of vertical stacks of UC modules housed within each cabinet section, each UC module including a plurality of UC cells; wherein each UC module within each of the vertical stacks of UC modules is connected in parallel to the UC modules within the vertical stack; wherein each of the vertical stacks of UC modules are connected in series with the other vertical stacks of UC modules within each cabinet section; wherein the connections between the UC modules and between the vertical stacks of UC modules are made by bus bars located such that the UC modules electrically connect with the bus bars in an appropriate combination of series and parallel connections when the UC modules are located in position within the cabinet sections.
Abstract:
A system includes a prime engine connected to a prime engine exhaust stack that receives prime engine exhaust, a mixing duct section connected to the prime engine exhaust stack, a head-end power (HEP) generator connected to an HEP generator exhaust pipe that receives HEP generator exhaust, a single urea injector, and a selective catalytic reduction (SCR) system. The HEP generator exhaust pipe is connected to the mixing duct section, and the single urea injector injects urea into the HEP generator exhaust pipe upstream of the mixing duct section. The HEP generator exhaust and prime engine exhaust merge in the mixing duct section to form a merged exhaust that is received by the SCR system.