Abstract: A method for statistical data clarification is described. The method includes determining a relevance of statistical data according to a textual context of a statistical data detected within a document viewed by a user. The method also includes establishing a frame of reference for the statistical data according to the textual context and a determined relevance of the statistical data detected within the document viewed by the user. The method further includes generating, according to the frame of reference, at least one analogy that corresponds to the statistical data. The method also includes displaying the at least one analogy to the user to assist the user in understanding and using the statistical data.

Abstract: A method for goal progression and visualization is described. The method includes generating a graph-like structure according to user specified goals along with their associated timeframes and desired outcomes. The method also includes converting the graph-like structure into a topological landscape of hills and valleys representing the user specified goals along with the associated timeframes and desired outcomes. The method further includes displaying the topological landscape of hills and valleys representing the user specified goals along with the associated timeframes and desired outcomes.

Abstract: A method to generate a digital avatar simulating a human for behavioral empathy and understanding is described. The method includes training a neural network to generate the digital avatar to simulate the human according to a vector of human attributes and generate responses in response to interactions with a user based on the vector of human attributes. The method also includes interacting, by the user, with the digital avatar, in which the digital avatar initially having a similar background and attributes as the user. The method further includes modifying, over time, the attributes of the digital avatar to represent a target background and a target set of attributes different from the user.

Abstract: A system includes a processor configured to build a model of human behavior that can be assigned to a simulated human, where the model is trained on a dataset of interactions between humans, and parameters of the model can be adjusted. The processor is further configured to build a model of a task to be engaged in by a plurality of simulated humans, simulate interactions between the plurality of simulated humans, and display behavior of the simulated humans and information about the interactions between the simulated humans during simulated interactions.

Abstract: A system includes a processor configured to determine analogies between information associated with a new topic to be learned and information associated with existing knowledge of a user, identify terms associated with the new topic that appear similar to terms associated with the existing knowledge, and propose questions for the user to explore based on the new topic and the existing knowledge.

Abstract: A method for an augmented reality goal assistant is described. The method includes detecting an object associated with a behavioral goal of a user. The method also includes altering an appearance of the object based on the behavioral goal of the user. The method further includes displaying the altered appearance of a detected object on an augmented reality headset, such that the altered appearance of the detected object is modified based on the behavioral goal of the user.

Abstract: A proning device includes a conformable structure that adapts to the shape of a subject, surrounded by a shell that imparts a substantially elliptical cross-sectional shape to an exterior of the device to facilitate rotation of the subject within the device when the device is wrapped around the subject. A low-friction interface may also be provided to further facilitate rotation of the subject. The device advantageously reduces staffing needs for proning a subject while facilitating extended proning and periodic re-orientation of the subject. Also disclosed herein are methods for making and using such a proning device.

Abstract: The present invention includes methods for treating and/or preventing dilated cardiomyopathy due to an LMNA mutation, comprised of administering to a subject at-risk a therapeutically effective amount of an inhibitor of PDGF signaling.

Abstract: A power supply may include a power converter circuit may be configured to control a magnitude of an output voltage, and generate a signal indicative of the magnitude of the output voltage. The power supply may include an over-power protection circuit that is configured to receive a feedback signal indicative of a magnitude of an input current of the power converter circuit. The power supply may include a control circuit that is configured to determine a magnitude of a requested power based on the signal indicative of the magnitude of the output voltage, and disable the power supply (e.g., control the magnitude of the output voltage to be zero volts) when the magnitude of the requested power is greater than a second threshold and the magnitude of input power indicated by the first feedback signal is less than a third threshold.

Abstract: A system and method for configuring a device includes using a machine learning model to generate a user behavior model based on user behavior data. The user behavior data may include time series data collected from user interactions with a first device, and the machine learning model may include a classification model configured to classify the user behavior data into the one or more classifications. A mapping may be created by training a machine learning model, using user behavior models from a plurality of users and device settings from the plurality of users, to identify one or more relationships between device settings and classifications of the user behavior data. The system and method configures one or more settings of a second device based on the user behavior model and the mapping.

Abstract: Embodiments herein describe circuitry with improved efficiency when executing layers in a nested neural network. As mentioned above, a nested neural network has at least one split operation where a tensor generated by a first layer is transmitted to, and processed by several branches in the neural network. Each of these branches can have several layers that have data dependencies which result in a multiply-add array sitting idly. In one embodiment, the circuitry can include a dedicated pre-pooler for performing a pre-pooling operation. Thus, the pre-pooling operation can be performing in parallel with other operations (e.g., the convolution performed by another layer). Once the multiply-add array is idle, the pre-pooling operation has already completed (or at least, has already started) which means the time the multiply-add array must wait before it can perform the next operation is reduced or eliminated.

Abstract: Needle drivers and methods of the present disclosure are generally directed at intracorporeal suture tying using a winding technique. For example, a needle driver may include an elongate shaft having a magnet section between a proximal section and a distal section. A clamp coupled to the distal section may grasp a first end portion of a suture. A needle coupled to a second end portion of the suture may be magnetically secured to the magnet section, and the magnet section may then be rotated to form a loop in the suture. Forming a knot in the suture may include moving the loop over the first end portion of the suture grasped in the clamp. As compared to other intracorporeal suture tying techniques, intracorporeal knot tying carried out using the needle drivers and methods of the present disclosure may reduce the time and complexity associated with laparoscopic procedures.

Abstract: A method includes fitting a ML trained model to data features, the fitting generates complete data feature-set outputs that are associated with a first set of accuracy values, iteratively fitting, after an iterative removal of each data feature from the data feature-set, the ML trained model to subsets of the plurality of data features to determine respective reduced feature-set outputs, each subset lacks a different data feature of the plurality of data features, determining one or more of the reduced feature-set outputs as corresponding to a second set of accuracy values, designating the iteratively removed data features as accuracy-modifying data features, generating a first linear model, generating a second linear model based on one of the accuracy-modifying data features having a weight that is highest relative to respective different weights of the remaining ones of the accuracy-modifying data features, and identifying the second linear model as a generative model.

Abstract: Systems and methods for refueling a chemical propulsion system are provided. The systems can include multiple pressurant reservoirs to supply pressure to one or more fuel tanks. During a refueling operation, pressurant is released, fuel is added to the fuel tank, and then the fuel tank is repressurized using pressurant from a secondary pressurant tank. In other configurations, during a refueling operation pressurant is cooled to depressurize the fuel tank, fuel is added to the fuel tank, and then the pressurant is heated to repressurize the fuel tank. The systems and methods can be used to refuel operationally deployed space craft.

Abstract: Chemical propellant storage and supply systems and methods for use on spacecraft are provided. The systems and methods include a fluid pump for moving chemical propellant within the system at selected pressures. This can include operating the fluid pump to supply propellant to a thruster system at a selected pressure. A fuel tank can be refilled by connecting a propellant resupply source to the system, and operating the fluid pump to move propellant from the propellant resupply source to the fuel tank. In a system with multiple fuel tanks, the fluid pump can be operated to move propellant from a donor fuel tank to a recipient fuel tank. The chemical propellant can be stored in one or more fuel tanks at a relatively low pressure. In addition, the chemical propellant is not pressurized by a gaseous pressurant while it is stored in the fuel tank.

Abstract: A method implemented by a processor of a device, the method including determining one or more user values, determining a prompt requiring a decision, and receiving a user selection to one or more choice options related to the one or more user values and pertaining to the prompt requiring a decision. The method further includes comparing the user selection to a risk-neutral utility function and assessing a risk of a potential decision based on the comparison.

Abstract: Human cardiac fibroblasts obtained from induced pluripotent stem cells (iPS cells) are provided for use in analysis, screening programs, and the like.

Abstract: The fastener assemblies, systems, and methods of the present disclosure are generally directed to a first T-fastener and a second T-fastener securable to one another through the use of a suture extending therebetween and deliverable to an anatomical location using a minimally invasive technique. For example, a cannula of a needle assembly may be percutaneously deliverable to a treatment site and, through actuation of a hub of the needle assembly, the first T-fastener and the second T-fastener may be deliverable relative to biological tissue to be fastened at the treatment site. The suture may intracorporeally fasten the first T-fastener and the second T-fastener relative to one another for robust securement biological tissue therebetween. As compared to securement using external fixation, the fastener assemblies, systems, and methods of the present disclosure may facilitate intracorporeally fastening tissue while reducing or eliminating certain requirements associated with postoperative care.

Abstract: Electronic devices and methods for displaying information on electronic displays of electronic devices based on learned user behavior are disclosed. In one embodiment, an electronic device includes an electronic display, a processor, and a non-transitory computer-readable medium storing instructions that, when executed by the processor, causes the processor to cause for display on the electronic display a selected representation of information among a plurality of representations based at least in part on learned behavior of a user.

Abstract: Systems and methods for selecting a channel of communication based on a type of thinking employed by a user for a task are disclosed. The systems and methods include determining that a user is employing System 1 type thinking or System 2 type thinking for the task based on one or more properties of the task, one or more properties of the user, and a state of the user based on physiological response data from one or more physiological sensors monitoring the user, and implementing a channel of communication to utilize for the task that corresponds to a determined type of thinking the user is employing for the task.