Abstract: An apparatus and method for pressurizing and supplying a gaseous fuel to an engine includes a first supply and a second supply of the gaseous fuel stored as a compressed gas. A pressure regulator regulates a pressure of the gaseous fuel fluidly received from the first supply or the second supply, a compressor pressurizes the gaseous fuel fluidly received from the first supply or the second supply, and an accumulator fluidly receives gaseous fuel from the compressor and the pressure regulator. A supply-select valve apparatus is in fluid communication with the first supply and the second supply and is actuatable to fluidly connect the first supply with the compressor or the pressure regulator, and to fluidly connect the second supply with the compressor or the pressure regulator.

Abstract: A method implemented in a Software as a Service (Saas) management platform (SMP) is provided, including: obtaining, over a network, usage data for a SaaS application, the usage data identifying interactivity with the SaaS application by users associated with a customer of the SMP; analyzing the usage data to determine a target provisioning status for selected ones of the users; providing an application programming interface (API) enabling access to the target provisioning status for the selected ones of the users; responsive to a request received over the network from a customer device accessing the API, then sending, over the network, data identifying the target provisioning status for the selected ones of the users.

Abstract: The present invention provides an improved process for lipid nanoparticle formulation and mRNA encapsulation. In some embodiments, the present invention provides a process of encapsulating messenger RNA (mRNA) in lipid nanoparticles comprising a step of mixing a suspension of preformed lipid nanoparticles and mRNA.

Abstract: A method implemented in a Software as a Service (SaaS) management platform (SMP) is provided, including: obtaining, over a network, usage data for a SaaS application, the usage data identifying interactivity with the SaaS application by users associated with a customer of the SMP; analyzing the usage data to determine a target provisioning status for selected ones of the users; accessing an exempt list to determine whether any of the selected ones of the users are exempt from changes to provisioning status; for the selected ones of the users that are not determined to be exempt, then performing an operation to change a current provisioning status to the target provisioning status.

Abstract: Systems and methods are described herein for generating a playlist for a simultaneous presentation of a plurality of media assets. The system retrieves a user preference associated with a user profile and receives a selection of a first media asset and a second media asset from the plurality of media assets for presentation on a user device. The system parses the respective audio streams of the first media asset and the second media asset to identify one or more preferred audio segments based on the user preference and generates the playlist of the identified one or more preferred audio segments. Based on a generated audio playlist, the system generates, for presentation on the user device, the video stream for each of the first media asset and the second media asset and the playlist of the identified one or more preferred audio segments.

Abstract: A computer-implemented method of providing navigation guidance for navigating an interventional device within the anatomy, includes: receiving (S110) interventional device shape data (110) representing a shape of the interventional device (120) at one or more time steps (t1 . . . n), the time steps including at least a current time step (tn): inputting (S120) the interventional device shape data (110) into a neural network (130) trained to predict, from the interventional device shape data (110), a future position (140) of one or more portions of the interventional device (120) at one or more future time steps (tn+1 . . . n+k), and a corresponding confidence estimate (150) for the one or more future positions (140); and displaying (S130) the predicted one or more future positions (140), and the corresponding predicted confidence estimate (150).

Abstract: A method implemented in a Software as a Service (SaaS) management platform (SMP) is provided, including: obtaining, over a network, usage data for a SaaS application, the usage data identifying interactivity with the SaaS application by users associated with a customer of the SMP; analyzing the usage data to determine a target provisioning status for selected ones of the users; accessing an application programming interface (API) of a single sign-on (SSO) provider to change a current provisioning status of the selected ones of the users to the target provisioning status.

Abstract: The present invention relates to a photoprotective personal care composition, which provides high sun-protection factor along with very good photostability and sensorial properties that the consumer expects when such a composition is applied on the skin. This is achieved through a composition comprising a combination of an oil-soluble sunscreen, a water-soluble sunscreen, a non-ionic surfactant having an HLB value in the range of 9 to 20, fatty acid, humectant; and a polymer selected from one of more of dimethicone/vinyldimethicone crosspolymer and hydrophobically modified silica.

Abstract: The present invention relates to injectable pharmaceutical compositions comprising therapeutically effective amount of succinylcholine chloride, one or more pharmaceutically acceptable aqueous solvents, and one or more stabilizing agents selected from aliphatic polyols; lower alkyl alcohols; amino acids having at least one additional amino, carboxyl or hydroxyl group; amino alcohols; and aliphatic dicarboxylic acids having at least one hydroxyl or amino group, or ?-? unsaturation. The compositions are stable at room temperature for at least 30 days. Methods of manufacturing the injectable pharmaceutical compositions are also provided. The composition may be provided in a sealed container, e.g., an ampoule, vial and pre-filled syringe, and are suitable for subcutaneous, intravenous or intramuscular administration as an adjunct to general anesthesia, to facilitate tracheal intubation, and/or to provide skeletal muscle relaxation during surgery or mechanical ventilation.

Abstract: A system and method for enhanced call progress assessment (CPA) utilizing dual-prong analysis, comprising a campaign management console, a data services engine, a traffic shaper, an agent desktop, an optimized CPA service, an auto-dialer with built-in CPA capabilities, and a simple dialer which allows enterprises to process outbound calls in parallel in order to quickly and accurately determine outbound call outcome, a live person or an answering machine or service, which can be used to route outbound calls in an appropriate manner. The system and method utilize a plurality of specialized CPA methods running in parallel to a built-in CPA system to analyze audio stream data associated with an outbound call and uses various entity-specific threshold parameters to determine a call outcome based on the results of the plurality of CPA methods. Such a system and method can provide faster and more accurate CPA using a dual prong approach.

Abstract: Various methods and systems are provided for dynamically adjusting user guidance based on a user's proficiency by tracking the same. In one example, a proficiency score for a user may be tracked over time and practice based on a pre-defined rubric for a given anatomical region and a given anatomical target within the anatomical region. During medical imaging, based on the proficiency score of the user, an amount of user guidance that is provided to the user may be adjusted. For example, user guidance may be automatically activated to guide the user during the imaging procedure when the proficiency score of the user is less than a threshold score.

Abstract: The present disclosure relates to systems, methods, and computer readable media for optimizing resource allocation on a computing zone based on bursting data and in accordance with an allocation policy. For example, systems disclosed herein may implement a lifetime-aware allocation of computing resources to facilitate computational bursting on respective server nodes to prioritize different aspects of performance on the server nodes of a cloud computing system. The systems described herein provide a number of benefits, including, by way of example, facilitating an allocation policy that enables more densely packing virtual machines on respective server nodes, boosting individual virtual machine performance, and reducing a buffer of empty nodes that need to be maintained on one or more node clusters. This may include more densely packing virtual machines on respective server nodes.

Abstract: A method for autonomously grinding a workpiece includes: accessing a virtual model defining a geometry of the workpiece; identifying a grinding region on the workpiece; and projecting a target grinding profile onto the grinding region on the workpiece. The method also includes: based a geometry of the workpiece and the target grinding profile, generating a tool path for removal of material from the grinding region to the target grinding profile; and assigning a target force to the target region. The method also includes, during a processing cycle: accessing a sequence of force values output by a force sensor coupled to a grinding head; navigating the grinding head across the grinding region according to the tool path; and, based on the sequence of force values, deviating the grinding head from the tool path to maintain forces of the grinding head on the grinding region proximal the target force.

Abstract: Systems, methods, and computer-readable storage media utilized for transferring math based currency (“MBC”) at a financial institution. One method includes storing a plurality of private and public key pairs in a pooled database. The method further includes receiving, from a customer computing device of a customer, a request for an MBC address to transfer an amount of MBC to a recipient. The method further includes creating a first private and public key pair associated with a first MBC address. The method further includes providing, to the customer computing device, the first MBC address. The method further includes receiving, from an MBC wallet application, an MBC transaction request for the amount of MBC, the MBC transaction request comprising the first MBC address. The method further includes transferring the amount of MBC to the first MBC address and storing the first private and public key pair in the pooled database.

Abstract: Domain-specific parameters may be used for tuning speech processing. A pre-trained transformer-based language model may train domain-specific parameters using domain-specific unlabeled text data. This domain-specific parameters can then be appended to candidate texts produced by a speech model on received speech data and input to the transformer-based language model to score the candidate texts. The scores of the candidate texts determined using the pre-trained transformer-based language model can then be used to select a candidate text for further speech processing.

Abstract: A method, computer system, and a computer program product for classification training are provided. A deep learning model is trained with a first dataset that includes annotated samples that include a first and second class. Last hidden state features corresponding to respective tokens from prototypes of the first and second class are saved. The trained deep learning model is further trained with a second dataset that includes additional annotated samples that include the first and second class and a third class. The further training includes performing a cosine similarity loss optimization and a cross entropy loss optimization. The cosine similarity loss optimization is of last hidden state features resulting from the further trained deep learning model and the first class and the second class compared to the saved last hidden state features. The cross entropy loss optimization is for classification of the first, second, and the third class.

Abstract: A microprocessor-PLD hybrid architecture includes an IPC microprocessor and a PLD in signal communication with the IPC microprocessor via an IPC interface. The IPC microprocessor outputs a data read command to initiate a data read operation or a data write command. The PLD includes a plurality of PLD modules that store data and a bus controller. The bus controller communicates with the plurality of PLD modules via a plurality of PLD interfaces and is configured to sequentially execute a set of bus controller instructions. The bus controller reads data from a target PLD module from among the plurality of PLD modules in response to receiving the data read command, and transfers the data to the IPC microprocessor. The bus controller receives data from the IPC microprocessor and stores the data in a target PLD module from among the plurality of PLD modules in response to receiving the data write command.

Abstract: Disclosed are various approaches performing distributed profiling and validation. A query is generated for profile data for data stored in a data warehouse. Then, the query for the profile data is sent to the data warehouse. The profile data is then received from the data warehouse. Later, in response to a request to load the data stored in the data warehouse into a table in a data store, a determination is made as to whether the data stored in the data warehouse complies with a validation rule.

Abstract: A device, system and method for facilitating multi-level stream-based edge analytics in multi-modal communication. The device generates at least one primary data stream and secondary data stream by processing a plurality of data streams received from one or more data sources based on type of a multimodal application. Further, the device determines bandwidth requirements for transmission of the primary data stream and secondary data stream. The device then selects one or more network interfaces from a plurality of network interfaces to transmit at least one primary data stream based on traffic characteristics of the plurality of network interfaces and the bandwidth requirements. The device then transmits the primary data stream to an edge analytic server for edge analytics via the selected one or more network interfaces.

Abstract: Combination therapy regimens including liposomal irinotecan, oxaliplatin and 5-fluorouracil are useful in the treatment of pancreatic cancer, including treatment of patients diagnosed with previously untreated metastatic adenocarcinoma of the pancreas. The combination therapy can include the administration of liposomal irinotecan, oxaliplatin, leucovorin and 5-fluorouracil once every two weeks.