Abstract: Causality is a crucial paradigm in several domains where observational data is available. Primary goal of Causal Inference (CI) is to uncover cause-effect relationship between entities. Conventional methods face challenges in providing an accurate CI framework due to cofounding and selection bias in multiple treatment scenario. The present disclosure computes a Propensity Score (PS) from a received CI data for the plurality of subjects under test for a treatment. A Generalized Propensity Score (GPS) is computed for a plurality of treatments corresponding to the plurality of subjects by using the PS. Further, a plurality of task batches are created using the GPS and given as input to the DNN for training. Errors in factual data and in balancing representation of the DNN are rectified using a novel loss function. The trained DNN is further used for predicting the counter factual treatment response corresponding to the factual treatment data.

Abstract: Compounds of Formula I, pharmaceutically acceptable salts thereof, tautomers thereof, pharmaceutically acceptable salts of the tautomers, or mixtures thereof are agonists of the APJ Receptor and may have use in treating cardiovascular and other conditions. Compounds of Formula (I) have the following structure: where the definitions of the variables are provided herein.

Abstract: Systems, methods, and devices reduce interference experienced by wireless communications devices. Methods include receiving a first signal from a first transceiver, the first signal being compatible with a first communications protocol, and configuring a filter based, at least in part, on the received first signal, the filter being communicatively coupled to a second transceiver collocated in a same wireless communications device as the first transceiver. The methods further include receiving a second signal, the second signal being compatible with a second communications protocol, and filtering the second signal to remove at least some components of the first signal from the second signal, the filtering reducing at least some interference from the first signal with the second signal. The methods also include providing the filtered second signal to the second transceiver.

Abstract: Containers for transporting plants are provided that can include a base having a base recess for receiving a plant and a growing medium or soil, a lid that can attach to the base such that the lid can extend over and enclose the plant within the container, a cover for holding the plant within the base recess that can be mounted within a base opening into the base recess and abutting against the growing medium or soil, at least one light source mounted to an upper surface of the cover, and a tamper-resistant attachment mechanism for attaching the lid and the base together. Methods for enclosing and transporting plants within containers are also provided.

Abstract: An electronic control unit to control an engine control module of an engine is disclosed. The electronic control unit may receive, from a load monitoring device, power command information associated with a load of an engine. The electronic control unit may determine, based on the power command information, a total power command of the engine. The electronic control unit may determine, based on the total power command, a target engine speed for the engine. The electronic control unit may cause an engine control module to control the engine to operate in association with the target engine speed.

Abstract: A memory cell comprises, in the following order, channel material, a charge-passage structure, programmable material, a charge-blocking region, and a control gate. The charge-passage structure comprises a first material closest to the channel material, a third material furthest from the channel material, and a second material between the first material and the third material. The first and third materials comprise SiO2. The second material has a thickness of 0.4 nanometer to 5.0 nanometers and comprises SiOx, where “x” is less than 2.0 and greater than 0. Other embodiments are disclosed.

Abstract: Aspects of the present disclosure implement techniques of a new 3D waveform coding scheme that leverages the spatial properties of 5G NR systems. Specifically, in 5G systems, each UE location may be characterized by three parameters: propagation delay (tp), angle of elevation (?), and angle of azimuth (?). Global coding matrix may be generated by linear combination of these three attributes and a unique lattice code may be generated for each UE at different locations from the base station. Thus, considering the coding gain increases with increasing the distance between the codes, aspects of the present disclosure take advantage of geometrical properties of lattice. Particularly, within the 3D waveform coding, if lattice distance between co-beamed UEs is determined to be greater than threshold radius, a conjugate lattice code for the UEs may be applied in accordance with aspects of the present disclosure.

Abstract: A device that includes a memory and a processor is disclosed. The processor may be configured to receive a control signal for operating a plurality of traction motors of a work machine. The control signal may include information relating to an actual speed of the work machine, a target speed of the work machine, and a generator speed of a generator operatively coupled to the traction motors. The processor may be configured to determine respective torque commands associated with the traction motors based on the actual speed and the target speed, and determine a generator power limit based on the generator speed. The processor may be configured to determine a threshold based on the respective torque commands and the generator power limit, adjust the respective torque commands based on the threshold, and cause the traction motors to be operated based on the adjusted respective torque commands.

Abstract: A computer system for controlling access to medical resources, the system comprising at least one processor configured to: provide at least one trained machine learning model which has been trained on a training data set comprising healthcare event associated data, the at least one trained machine learning model having an input for receiving at least one operating data set associated with a particular healthcare event and an output for generating at least one value associated with the particular healthcare event; provide the at least one operating data set to the trained model and to receive the at least one value; and in dependence upon the at least one value, generate an indication of an assignment of medical resources for a patient associated with the event.

Abstract: A device that includes a memory and a processor is disclosed. The processor may be configured to receive a control signal for operating a plurality of traction motors of a work machine. The control signal may include information relating to an actual speed of the work machine, a target speed of the work machine, and a generator speed of a generator operatively coupled to the traction motors. The processor may be configured to determine respective torque commands associated with the traction motors based on the actual speed and the target speed, and determine a generator power limit based on the generator speed. The processor may be configured to determine a threshold based on the respective torque commands and the generator power limit, adjust the respective torque commands based on the threshold, and cause the traction motors to be operated based on the adjusted respective torque commands.

Abstract: The present invention discloses a system and a method for resource data classification and management. In operation, the present invention provides for evaluating a deployment probability score for each incoming data-record based on previous data-records. Further, a match score of each incoming data-record is computed. Furthermore, each incoming data-record is analyzed to determine a bench period associated with each incoming data-record. Yet further, the present invention, categorizes the incoming data-records into two or more categories based on corresponding deployment probability score, match score and bench period. A deployment opportunity index is generated for each incoming data-record representing the categories and corresponding probability score, match score and bench period, providing an upfront indication of deploy-ability of an incoming data-record. Finally, the present invention provides for generating a list of recommendations for each data-record.

Abstract: A braking system is disclosed. The braking system may include a controller configured to determine a speed threshold that is based on a deceleration of an output speed of a powertrain of a machine caused in part by engagement of one or more brakes of the machine during a directional shift in a movement of the machine, the speed threshold being the output speed of the powertrain at which the one or more brakes are to be commanded to disengage. The controller may be configured to command disengagement of the one or more brakes based on a determination that the output speed of the powertrain satisfies the speed threshold.

Abstract: A braking system is disclosed. The braking system may include a controller configured to determine a power limit for one or more brakes of a machine based on a temperature of the one or more brakes during engagement of the one or more brakes according to a commanded power. The power limit may be a power at which the temperature of the one or more brakes ceases to increase. The controller may be configured to determine a speed adjustment for the machine based on the power limit and the commanded power, and cause adjustment to a speed of the machine based on the determined speed adjustment.

Abstract: A computer system for generating a quantitative value relating to a negative health outcome, the computer system comprising: a conversion module configured to receive multiple sets of data items associated with patients and each comprising a descriptor and the time at which that event impacted the patient. The conversion module generates a training data structure which comprises for each patient an array of selected features, each selected feature associated with a numerical value representing a score indicative of the relevance of that feature to the prediction of the negative health outcome, and a label indicating if the patient exhibits the negative health outcome; and a machine learning model which is trained using the training data structure so as to be operable to generate a quantitative value relating to a negative health outcome for a patient with at least some of the features.

Abstract: Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection.

Abstract: A memory cell comprises channel material, insulative charge-passage material, programmable material, a control gate, and charge-blocking material between the programmable material and the control gate. The charge-blocking material comprises a non-ferroelectric insulator material and a ferroelectric insulator material comprising hafnium, zirconium, and oxygen. Other embodiments are disclosed.

Abstract: An electronic control unit to control an engine control module of an engine is disclosed. The electronic control unit may receive, from a load monitoring device, power command information associated with a load of an engine. The electronic control unit may determine, based on the power command information, a total power command of the engine. The electronic control unit may determine, based on the total power command, a target engine speed for the engine. The electronic control unit may cause an engine control module to control the engine to operate in association with the target engine speed.

Abstract: A memory cell comprises, in the following order, channel material, a charge-passage structure, programmable material, a charge-blocking region, and a control gate. The charge-passage structure comprises a first material closest to the channel material, a third material furthest from the channel material, and a second material between the first material and the third material. The first and third materials comprise SiO2. The second material has a thickness of 0.4 nanometer to 5.0 nanometers and comprises SiOx, where “x” is less than 2.0 and greater than 0. Other embodiments are disclosed.

Abstract: Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection.

Abstract: Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection.