Abstract: The disclosure provides compositions comprising Salvinorin A or a derivative of Salvinorin A for use in treating neurological diseases and conditions.

Abstract: Systems and methods are described for intelligent software patch management. In an example, a system can receive a selection of device attributes. The system can associate a group of computing devices with attribute values that correspond to each device. The system can also create value pairs of unique pairs of values for each computing device. The system can select a set of computing devices for a deployment ring that maximizes diversity of the values or value pairs. The system can deploy the software patch to the selected devices and monitor device performance for a predetermined period of time before continuing to the next deployment ring or rolling back the update.

Abstract: The invention features modified alphavirus or flavivirus virus-like particles (VLPs). The invention provides methods, compositions, and kits featuring the modified VLPs. The invention also features methods for enhancing production of modified VLPs for use in the prevention or treatment of alphavirus and flavivirus-mediated diseases. The invention also provides methods for delivering agents to a cell using the modified VLPs.

Abstract: The present disclosure provides prodrug compounds of MDMA, MDA, and derivatives thereof having an improved pharmacokinetic profile suitable for the treatment of various neurological diseases.

Abstract: The present invention relates generally to systems for measuring pH. In particular, the present invention relates to a continuous flow system having one or more solid state pH sensors positioned within a fluid pathway of the system to provide continuous pH measurement.

Abstract: Compounds and methods for their preparation and use as therapeutic or prophylactic agents, for example for treatment of cancer, bacterial or viral diseases by targeting Ectonucleotide Pyrophosphatase/Phosphodiesterase-1 (ENPP1).

Abstract: The present disclosure provides an experimentation framework for a computational environment in a distributed system. A machine-learning model may be created that predicts at least one output produced by the computational environment based on at least one input provided to the computational environment. During an evaluation time period that is subsequent to at least one modification being made to the computational environment, at least one modified output produced by the computational environment may be determined. The machine-learning model may be used to calculate at least one predicted output that would have been produced by the computational environment during the evaluation time period if the at least one modification had not been made. A determination may also be made about how the at least one modification affected the computational environment based on a comparison of the at least one modified output and the at least one predicted output.

Abstract: Providing a reserve equated monthly installment (EMI) account to pay an installment payment associated with a debt. Information including a customer financial account including an account balance and information regarding a debt payable in installments including the payment amount and due date are received. When insufficient funds exist to pay the installment payment amount by the due date, a reserve EMI account is opened, and loaned funds are used to pay the installment payment amount.

Abstract: Multiple single plenum and dual plenum showerhead designs are disclosed. In the designs, pillars are disposed in each plenum to increase solidity of the plenums to provide improved axial heat conduction through the showerheads. The heat conduction is further improved by providing solid and substantially conical backplates.

Abstract: Systems and methods are described for intelligent software patch management. In an example, a system can receive a selection of device attributes. The system can associate a group of computing devices with attribute values that correspond to each device. The system can also create value pairs of unique pairs of values for each computing device. The system can select a set of computing devices for a deployment ring that maximizes diversity of the values or value pairs. The system can deploy the software patch to the selected devices and monitor device performance for a predetermined period of time before continuing to the next deployment ring or rolling back the update.

Abstract: Systems and methods include extraction of a plurality of clauses from each of a plurality of electronic documents, determination, for each of the plurality of clauses and using a machine-learned algorithm, an associated clause type, identification of one or more data privacy protection entities present within each of one or more of the plurality of clauses, determination, for each of the one or more of the plurality of clauses, of a weighted frequency for each of the one or more data privacy protection entities present within the clause based on a type of the data privacy protection entity, determination of a weighted frequency associated with each of the plurality of electronic documents based on the determined weighted frequency for each of the one or more data privacy protection entities present within clauses of the plurality of electronic documents, and storage of an identifier of each of the plurality of electronic documents in association with a respective determined weighted frequency.

Abstract: Compounds and methods for their preparation and use as therapeutic or prophylactic agents, for example for treatment of cancer, bacterial or viral diseases by targeting Ectonucleotide Pyrophosphatase/Phosphodiesterase-1 (ENPP1).

Abstract: Various embodiments may provide non-isolated single-input dual-output (SIDO) bi-directional buck-boost direct current (DC) to DC (DC-DC) converters. Various embodiments may provide a method for controlling a buck duty cycle of the non-isolated SIDO bi-directional buck-boost DC-DC converter such that a first voltage measured across a first portion of the non-isolated SIDO bi-directional buck-boost DC-DC converter is maintained at less than a voltage of a first load and a second voltage measured across a second portion of the non-isolated SIDO bi-directional buck-boost DC-DC converter is maintained at less than a voltage of a second load.

Abstract: The present invention relates generally to systems for measuring pH. In particular, the present invention relates to a continuous flow system having one or more solid state pH sensors positioned within a fluid pathway of the system to provide continuous pH measurement.

Abstract: Provided herein are prodrugs comprising acyl carnitines including those of Formula (I): wherein: R1 is alkyl or alkenyl; R2 is alkyl or aryl; and X? is a pharmaceutically acceptable anion.

Abstract: The invention features compositions and methods for the prevention or treatment of one or more strains of Chikungunya virus, as well as other alphavirus-mediated diseases.

Abstract: Systems and methods are described for intelligent software patch management. In an example, a system can receive a selection of device attributes. The system can associate a group of computing devices with attribute values that correspond to each device. The system can also create value pairs of unique pairs of values for each computing device. The system can select a set of computing devices for a deployment ring that maximizes diversity of the values or value pairs. The system can deploy the software patch to the selected devices and monitor device performance for a predetermined period of time before continuing to the next deployment ring or rolling back the update.

Abstract: The present disclosure provides an experimentation framework for a computational environment in a distributed system. A machine-learning model may be created that predicts at least one output produced by the computational environment based on at least one input provided to the computational environment. During an evaluation time period that is subsequent to at least one modification being made to the computational environment, at least one modified output produced by the computational environment may be determined. The machine-learning model may be used to calculate at least one predicted output that would have been produced by the computational environment during the evaluation time period if the at least one modification had not been made. A determination may also be made about how the at least one modification affected the computational environment based on a comparison of the at least one modified output and the at least one predicted output.

Abstract: One or more two-dimensional images of a three-dimensional object may be analyzed to estimate a three-dimensional mesh representing the object and a mapping of the two-dimensional images to the three-dimensional mesh. Initially, a correspondence may be determined between the images and a UV representation of a three-dimensional template mesh by training a neural network. Then, the three-dimensional template mesh may be deformed to determine the representation of the object. The process may involve a reprojection loss cycle in which points from the images are mapped onto the UV representation, then onto the three-dimensional template mesh, and then back onto the two-dimensional images.

Abstract: Systems and methods are described for intelligent software patch management. In an example, a system can receive a selection of device attributes. The system can associate a group of computing devices with attribute values that correspond to each device. The system can also create value pairs of unique pairs of values for each computing device. The system can select a set of computing devices for a deployment ring that maximizes diversity of the values or value pairs. The system can deploy the software patch to the selected devices and monitor device performance for a predetermined period of time before continuing to the next deployment ring or rolling back the update.