Abstract: A downhole motor, having a body having an outside surface and a longitudinal extent, a first flow passage defined within the body and disposed along the longitudinal extent of the body, and a second flow passage extending from the first flow passage to a channel at the outside surface, wherein a Bernoulli suction force is created at the channel. A method for drilling a borehole, including directing a fluid through a first flow passage defined within a body of a drill and disposed along the longitudinal extent of the body, directing a portion of the fluid from the first flow passage through a second flow passage to a channel at an outside surface to create a Bernoulli suction force at the channel, and drilling a curved section of the borehole by using the Bernoulli suction force at the channel.

Abstract: A drilling system configured to drill a borehole into a subsurface formation, including a steering device. The steering device is configured to convey a fluid supply through a valve to an outside surface of the steering device, wherein the fluid flow causes a steering force on the steering device. A method for drilling a borehole into a subsurface formation, including disposing a steering device in the borehole, rotating the steering device, urging a fluid to flow through a valve of the steering device to an outside surface of the steering device, wherein the fluid flow causes a steering force on the steering device.

Abstract: The present invention provides antibodies and antibody-drug conjugates that bind to the extra domain B splice variant of fibronectin 1 and methods for preparing and using the same.

Abstract: A steering augmenter for a steering device of a drilling tool, including a body, a first flow passage in the body and configured to convey a fluid supply. a channel at the outside surface of the body, the channel being configured to produce a Bernoulli effect therein during fluid flow therein, a second flow passage fluidly connecting the first flow passage to the channel, and a valve associated with the second flow passage and configured to allow, prevent or choke flow through the second flow passage. A downhole drill bit assembly including a steering augmenter, the drill bit attached to the steering augmenter. A method for drilling a borehole into the earth, the method including conveying the steering device into the borehole, operating the valve to allow, prevent or choke flow through the second flow passage, creating a steering force at the steering augmenter by the produced Bernoulli effect.

Abstract: This invention relates to binding molecules that bind specifically to TNF-related apoptosis-inducing ligand receptor 2 (TRAILR2) and cadherin-17 (CDH17) and their use in medicine, pharmaceutical compositions comprising the same, and methods of using the same as agents for treatment and/or prevention of cancer.

Abstract: One or more embodiments described herein can facilitate electric charge transfer to/from one or more battery cells and/or multi-cell battery packs of an electric vehicle. An exemplary method can comprise charging, by a system operatively coupled to a processor, a primary power source of a first vehicle using a primary power source of a second electric vehicle. The charge can comprise a physical coupling or a wireless charge between the primary power sources of the first electric vehicle and the second electric vehicle.

Abstract: One or more embodiments described herein can facilitate electric charge transfer to/from one or more battery cells and/or multi-cell battery packs of an electric vehicle from another electric vehicle, based at least in part on state of charge and/or state of health monitoring at one or more of the cell-level or pack-level. An exemplary method can comprise identifying, by a system operatively coupled to a processor, a subset of a plurality of battery cells of a vehicle system, wherein the subset of the plurality of battery cells is beyond a threshold for remediation, and initiating a charge, by the system, of the subset of the plurality of battery cells, wherein the charge comprises energy transfer at the subset of the plurality of battery cells such that the subset of the plurality of battery cells degrades towards end of life of the subset of the plurality of battery cells.

Abstract: One or more embodiments described herein can facilitate electric charge transfer to/from one or more battery cells and/or multi-cell battery packs of an electric vehicle that is moving. An exemplary method can comprise wirelessly charging, by a system operatively coupled to a processor, a power source of a first electric vehicle by a power source of a second electric vehicle while the first electric vehicle and the second electric vehicle are moving. The power source of the first electric vehicle can be a primary power source of the first electric vehicle, and the power source of the second electric vehicle can be a primary power source of the second electric vehicle.

Abstract: One or more embodiments described herein can facilitate electric charge transfer to/from one or more battery cells and/or multi-cell battery packs of an electric vehicle from a second electric vehicle, based at least in part on state of charge and/or state of health monitoring at one or more of the cell-level or pack-level. An exemplary method can comprise identifying, by a system operatively coupled to a processor, based on a comparison of a metric to a historical metric for vehicle performance, a current event that is defined by the metric as leading to degradation of a plurality of battery cells of a vehicle system, upon identifying the current event, determining, by the system, a subset of the plurality of battery cells that is beyond a threshold for remediation, and continuing to use, by the system, the subset such that the subset degrades towards end of life of the subset.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: One or more embodiments described herein can facilitate messaging to direct electric charge transfer to/from one or more battery cells and/or multi-cell battery packs of an electric vehicle. An exemplary method can comprise initiating, by a system operatively coupled to a processor, a communication between a first electric vehicle and second electric vehicle to coordinate provisioning of an emergency charging between the first electric vehicle and the second electric vehicle. The power source of the first electric vehicle can be a primary power source of the first electric vehicle, and the power source of the second electric vehicle can be a primary power source of the second electric vehicle.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: One or more embodiments described herein can facilitate electric charge transfer to/from one or more battery cells and/or multi-cell battery packs of an electric vehicle from another electric vehicle, based at least in part on state of charge and/or state of health monitoring at one or more of the cell-level or pack-level. An exemplary method can comprise monitoring, by a system operatively coupled to a processor, cell states of a plurality of battery cells of a vehicle system, identifying, by the system, based on the cell states, a subset of the plurality of battery cells that is beyond a threshold for remediation, and continuing to use, by the system, the subset of the plurality of battery cells such that the subset of the plurality of battery cells degrades towards end of life of the subset of the plurality of battery cells.

Abstract: Vehicle battery health optimization and communication (e.g., using a computerized tool) are enabled. For example, a system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise: a battery health component that, using a defined battery health algorithm and a battery sensor, determines degradation of a battery of a vehicle, and a communication component that, based on the degradation of the battery and a traveling direction of a user of the vehicle, external to the vehicle, transmits a message representative of the degradation of the battery.

Abstract: Automated vehicle battery health optimization (e.g., using a computerized tool) is enabled. For example, a system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise: a battery health component that, using a defined battery health algorithm and a battery sensor, determines degradation of a battery of a vehicle, and an execution component that, based on the degradation of the battery and a traveling direction of a user of the vehicle, external to the vehicle, facilitates an action determined to mitigate further degradation of the battery.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.