Abstract: Techniques disclosed herein relate to inferring a type of multiple sclerosis and determining whether to output an alert based on codes detected within noisy assessment data corresponding to a subject. The noisy assessment data includes content originating from a care provider that identifies a characteristic of the subject or of a treatment for the subject, and the subject has been diagnosed with multiple sclerosis. A temporal dynamic or distribution is determined based on instances of the code detection, and a modulation is determined based on the temporal dynamic or the distribution. It is determined whether an alert criterion is satisfied based on whether the modulation is above a threshold so as to represent noise or a predicted transition across types of multiple sclerosis. The inferred type of multiple sclerosis is output. When the alert criterion is satisfied, an alert is output as well.

Abstract: Sanitary tissue products employing fibrous structures that exhibit novel combination of slip stick coefficient of friction and compressibility properties and methods for making same.

Abstract: A computing system including a quantum computing device and a classical computing device. The computing system computes an estimated unitary matrix over a plurality of iterations that each include, at a processor, computing a current-iteration exponent, a current-iteration error parameter, and a conjugate transpose of a current-iteration estimate of the unitary matrix. Each iteration further includes transmitting the current-iteration exponent, the current-iteration error parameter, and the conjugate transpose to the quantum computing device. At the quantum computing device, each iteration further includes computing a process tomography result and outputting the process tomography result to the classical computing device. At the processor, each iteration further includes computing a distance measure between the current-iteration estimate and the process tomography result, and, when the distance measure is below a predefined constant, updating the current-iteration estimate.

Abstract: Systems and methods can determine respiratory rates of a patient using a respiratory device by performing one or more frequency analyses of a signal from the gases flow. The signal from the gases flow can be one that varies with the patient's breathing. The system can include a non-sealed patient interface, such as a nasal cannula in a nasal high flow therapy, or any other patient interfaces. The respiratory system can also detect whether the patient has taken off the patient interface and/or whether the patient connected to the patient interface is talking or eating. Data of the patient's use of the respiratory system and the patient's respiratory rates can provide therapy compliance and long-term trend of use information and/or progress in the patient's respiratory functions and/or other physiological functions.

Abstract: A powder dispensing assembly for an additive manufacturing machine is provided. The powder dispensing assembly includes a housing that defines a powder reservoir that receives additive powder; a first plate removably connectable to the housing, the first plate defining a first discharge orifice having a first discharge orifice geometry; and a second plate removably connectable to the housing, the second plate defining a second discharge orifice having a second discharge orifice geometry different than the first discharge orifice geometry, wherein with the first plate connected to the housing, the additive powder flows out of the first discharge orifice at a first dosing rate, and wherein with the second plate connected to the housing, the additive powder flows out of the second discharge orifice at a second dosing rate different than the first dosing rate.

Abstract: A sensor pod system includes one or more sensor pods with a plurality of sensors configured to collect data from an environment. A sensor pod may have an effective field of view created by individual sensors with overlapping fields of view. The sensor pod system may include sensors of different types and modalities. Sensor pods of the sensor pod system may be modularly installed on a vehicle, for example, an autonomous vehicle and collect and provide data of the environment during operation of the vehicle.

Abstract: A structure or PIC structure includes a hybrid plasmonic (HP) waveguide. The HP waveguide includes a waveguide core, and a metal silicide layer contacting the waveguide core. The metal silicide layer replaces noble metals typically provided in hybrid plasmonic waveguides, providing improved optical signal containment characteristics. The metal silicide layer is also compatible with CMOS fabrication techniques, and capable of additional scaling with other CMOS structures. The HP waveguide also has a reduce form factor compared to conventional HP waveguides, providing room for more waveguides closer together.

Abstract: A system and method for improved application path selection for cloud-based applications from a client device. In one embodiment, a method includes collecting metrics of a remote user's use of one or more cloud-based applications, categorizing the one or more cloud-based applications based at least in part on the collected metrics, determining one or more secure network paths based at least in part on the categorizing of the one or more cloud-based applications, establishing the one or more secure network paths between the remote user and one or more network points-of-presence, and routing data traffic for the one or more cloud-based applications through the one or more established secure network paths.

Abstract: In some embodiments, a computer system may buffer, in a local storage buffer, data to be stored at the cloud and upload the data to the cloud storage from the local storage buffer. Upon receipt of an acknowledgement, from the cloud storage, that the data was successfully uploaded, the computer system may delete the data from the local storage buffer. The computer system may provide a ghost file representation of the uploaded data through the computer system, through which the data uploaded to the cloud storage may be accessed. In some embodiments, the computer system may access multiple cloud storage accounts, each corresponding to a file folder on the computer system, allowing the user to easily access different cloud storage accounts. The computer system may recover data that was deleted from either local persistent storage or the cloud storage.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for a web-based process to generate electronic checklists and deploy electronic checklists. One method may include: receiving bulk data from a user device; parsing the bulk data to form a loadable database for an electronic procedure system of a vehicle; generating a rendering of an electronic checklist of one or more electronic checklists based on the loadable database; transmitting a first message to the user device, the first message including the rendering of the electronic checklist; iteratively performing an authoring process using a web-based tool to update the loadable database; receiving a second message from the user device, the second message including an instruction to transmit the updated loadable database to the electronic procedure system of the vehicle; and transmitting a third message to the vehicle, the third message including the updated loadable database.

Abstract: Television tuner emulation techniques are described. In an implementation, a television tuner is emulated through execution of software on a processing system by a computing device, the emulated television tuner includes functionality to obtain television content over an Internet Protocol (IP) based network. The functionality of the emulated television tuner is exposed to one or more applications that are executed by the computing device such that the application is not aware that the television tuner is emulated through execution of the software.

Abstract: Systems and methods are provided for creating and executing a decision network that includes a number of stations configured to operate with respect to an instance of a document, container or other object. A user interface may be presented to a user that includes selectable options for configuring and connecting stations within the decision network, and for establishing executable logic for each station to modify or create data within fields of a container instance. Different stations in the decision network may be assigned different permissions with respect to the container. Individual stations in the decision network may be configured to determine a prediction or probability based on data accessible to the given station, where the prediction or probability of one station may be based in part on an earlier prediction or probability determined at another station of the decision network.

Abstract: A parking availability predictor system provides a prediction of parking availability that meets a user's specified needs. When the user submits a query for parking availability, he can include desired parking criteria such as location, handicapped status, and desired time to begin parking. The system consults a parking occupancy model which gathers current and historical information about parking occupancy, including parking durations and durations of vacancies between occupancies. The model processes the gathered information into a statistical predictor of parking occupancy and vacancy. The system uses the predictor to predict when parking that meets the user's needs will become available. That prediction, including user-suitable parking locations along with the expected start of their vacancies, is then sent to the user in answer to his query.

Abstract: A system for facilitating sender-side granular congestion control is provided. During operation, the first and second processes of an application can run on sender and receiver nodes, respectively. A first buffer on the sender node can be allocated to the first process. For the first process, the system can then identify a second buffer at a last-hop switch of the receiver node. The system can determine, based on in-flight packets, the utilization of the second buffer. The system can also determine a fraction of available space in the second buffer for packets from the first buffer based on the utilization. Subsequently, the system can determine whether the fraction of the available space can accommodate the next packet from the first buffer. If the fraction of the available space can accommodate the next packet, the system can allow the first process to send the next packet to the second process.

Abstract: There is a need for solutions that generates a temporally dynamic prediction for a particular prediction input. This need can be addressed by, for example, processing the prediction input using each of a plurality of temporally trained machine learning models to generate a corresponding model-specific prediction inference of a plurality of model-specific prediction inferences and processing the plurality of model-specific prediction inferences using an ensemble model to generate the temporally dynamic prediction for the prediction input.

Abstract: A buckle system and a method of accommodating a plurality of stack-up configurations of the buckle system is provided. The buckle system includes a base assembly, a locking assembly, and a plurality of optional universal assemblies. Each universal assembly is configured to selectively engage with or be disengaged from the base assembly, thereby changing the stack-up of the buckle system. The locking assembly is configured to be secured to the base assembly, thereby securing the buckle system in its current stack-up configuration. The buckle system can be moved between stack-up configurations by adding and removing universal assemblies, as desired. Each universal assembly is configured to rotate about a vertical axis of the base assembly, thereby accommodating a variety of strap configurations. The locking assembly is configured to translate vertically relative to the base assembly, and to be secured at various vertical positions, thereby accommodating a variety of stack-up configurations.

Abstract: In some general aspects, an apparatus for a light source includes: a monitoring module configured to monitor a fault status of one or more operating conditions of the light source; a decrement module configured to reduce an operating speed of a blower arranged in a gas discharge chamber of the light source if the fault status relating to one or more operating conditions of the light source is clear and if the decreased operating speed would be at or above a baseline speed; and an increment module configured to increase the operating speed of the blower if the fault status relating to one or more operating conditions of the light source is flagged. The blower is configured to displace a gas mixture including a gain medium from an energy source within the gas discharge chamber, the energy source configured to supply energy to the gas mixture.

Abstract: Described herein are techniques for adjusting notes of a first musical piece based on chord data of a second musical piece. A first musical piece is accessed, wherein the first musical piece comprises a plurality of notes. Chord data associated with a second musical piece is accessed. One or more of the plurality of notes are compared to the chord data. An aspect of the one or more of the plurality of notes is changed based on the comparison.

Abstract: The present disclosure relates to the intelligent distribution of data for robotic, autonomous, and similar systems. To reduce the impact of multi-agent coordination on networked systems embodiments are disclosed that include the use of action-based constraints which yield constrained-action POMDP (CA-POMDP) models, and probabilistic constraint satisfaction for the resulting infinite-horizon finite state controllers. To enable constraint analysis over an infinite horizon, an unconstrained policy is first represented as a finite state controller (FSC). A combination of a Markov chain Monte Carlo (MCMC) routine and a discrete optimization routine can be performed on the finite state controller to improve probabilistic constraint satisfaction of the finite state controller, while minimizing impact to a value function.