Abstract: Methods, systems, devices, and computer-readable media used by a cloud data management system for collecting data from accounts hosted by a cloud-based data storage system on different cloud platforms or in different cloud regions of a cloud platform. Collection of data in the multi-cloud platform and/or multi-cloud region environments may be facilitated by the on-demand creation of one or more data collection accounts. Based on the collected data, one or more recommendations, notifications, or alerts associated with usage of the data storage system may be generated.

Abstract: Methods, systems, devices, and computer-readable media used by a cloud data management system for collecting data from accounts hosted by a cloud-based data storage system on different cloud platforms or in different cloud regions of a cloud platform. Collection of data in the multi-cloud platform and/or multi-cloud region environments may be facilitated by the on-demand creation of one or more data collection accounts. Based on the collected data, one or more recommendations, notifications, or alerts associated with usage of the data storage system may be generated.

Abstract: Methods, systems, and apparatuses for using machine learning to simulate changes to virtual warehouse configurations without access to data stored by corresponding virtual warehouses are described herein. A computing device may receive first performance metrics of one or more first queries executed by one or more first virtual warehouses. The computing device may then generate a trained machine learning model to simulate operating parameter changes and predict virtual warehouse query performance metrics. The computing device may then provide performance metrics for one or more second virtual warehouses to the trained machine learning model. Output from the trained machine learning model may comprise performance metric predictions corresponding to a given configuration of a virtual warehouse. Predicted costs associated with those performance metric predictions may be output and, based on user input, the operating parameter of the at least one of the one or more second virtual warehouses may be modified.

Abstract: Methods, systems, devices, and computer-readable media used by a cloud data management system for collecting data from accounts hosted by a cloud-based data warehousing system on different cloud platforms or in different cloud regions of a cloud platform. Collection of data in the multi-cloud platform and/or multi-cloud region environments may be facilitated by the on-demand creation of one or more data collection accounts. Based on the collected data, one or more data warehouse resources not managed by the cloud data management system may be discovered, configured, and onboarded to the cloud data management system.

Abstract: Methods, systems, and apparatuses for using machine learning to simulate changes to virtual warehouse configurations without access to data stored by corresponding virtual warehouses are described herein. A computing device may receive first performance metrics of one or more first queries executed by one or more first virtual warehouses. The computing device may then generate a trained machine learning model to simulate operating parameter changes and predict virtual warehouse query performance metrics. The computing device may then provide performance metrics for one or more second virtual warehouses to the trained machine learning model. Output from the trained machine learning model may comprise performance metric predictions corresponding to a given configuration of a virtual warehouse. Predicted costs associated with those performance metric predictions may be output and, based on user input, the operating parameter of the at least one of the one or more second virtual warehouses may be modified.

Abstract: Methods, systems, devices, and computer-readable media used by a cloud data management system for collecting data from accounts hosted by a cloud-based data warehousing system on different cloud platforms or in different cloud regions of a cloud platform. Collection of data in the multi-cloud platform and/or multi-cloud region environments may be facilitated by the on-demand creation of one or more data collection accounts. Based on the collected data, one or more data warehouse resources not managed by the cloud data management system may be discovered, configured, and onboarded to the cloud data management system.

Abstract: The present invention relates to a radiation curable screen printing composition for cast-curing comprising one or more compounds comprising radiation curable groups, one or more photoinitiators and one or more rheology modifying agents, which composition has a specific shear rate dependent viscosity; an article comprising a substrate and a coating comprising the radiation curable composition in cured form, wherein the coating is in form of a surface relief structure, a method for producing the article comprising the steps: (i) Providing a casting tool having a relief structure defined in a surface thereof, the relief structure corresponding to the surface relief structure; (ii) Applying to the substrate and/or the relief structure of the casting tool the radiation curable composition; (iii) Cast curing the radiation curable composition by bringing the substrate into contact with a casting tool comprising a relief structure and forming the surface relief structure in the coating composition; and (iv) Radiatio

Abstract: Method of manufacturing a colored product, which includes obtaining a first colored covering material, where the first colored covering material is a first covering material coated with a first coating, where the first coating has a first color, where the first color has a first wavelength, where the first wavelength is 400 nm to 620 nm; measuring the first wavelength of the first color; determining a second wavelength of a second color, where the determining includes calculating the second wavelength by multiplying the first wavelength by a first phi factor, where the first phi factor is a product of n times ?, where n is 0.1 to 100, where ? is 1.

Abstract: A combination lock for the rear cargo doors of a vehicle including a body assembly and a locking assembly. The body assembly includes a body. The body is T-shaped. The body is arranged between the bars of the rear cargo doors to prevent opening of the doors. The locking assembly includes locking elements. The locking elements can be locked or unlocked in a predetermined position through dials. The locking elements can be inserted into the body to remove the combination lock from the rear cargo doors of the vehicle when the locking elements are unlocked.

Abstract: Method of manufacturing a colored product, which includes obtaining a first colored covering material, where the first colored covering material is a first covering material coated with a first coating, where the first coating has a first color, where the first color has a first wavelength, where the first wavelength is 400 nm to 620 nm; measuring the first wavelength of the first color; determining a second wavelength of a second color, where the determining includes calculating the second wavelength by multiplying the first wavelength by a first phi factor, where the first phi factor is a product of n times ?, where n is 0.1 to 100, where ? is 1.

Abstract: Methods, systems, devices, and computer-readable media used by a cloud data management system for collecting data from accounts hosted by a cloud-based data storage system on different cloud platforms or in different cloud regions of a cloud platform. Collection of data in the multi-cloud platform and/or multi-cloud region environments may be facilitated by the on-demand creation of one or more data collection accounts. Based on the collected data, one or more recommendations, notifications, or alerts associated with usage of the data storage system may be generated.

Abstract: The present invention provides in one aspect azabicyclo and diazepine derivatives useful as modulators of muscarinic receptors. In another aspect, the present invention provides pharmaceutical compositions for treating ocular diseases, the compositions comprising at least one muscarinic receptor modulator.

Abstract: A sealant pouch system for adhering roofing shingles includes a plurality of pouches containing an adhesive with a viscosity of 25 cps to 2500 cps. Each pouch comprises an outer film that encases the adhesive and is configured to rupture when subjected to a sufficient force or a temperature above a predetermined threshold. The method of installation involves placing the pouches on the reveal portion of shingles in a first row, installing a second row of shingles to overlap the first row, and applying sufficient force to rupture the pouches, causing the adhesive to contact both the headlap and reveal portions of the shingles, thereby sealing the rows together. The pouches may have various shapes and are designed to prevent rolling or sliding off sloped roof decks.

Abstract: Methods, systems, devices, and computer-readable media used by a cloud data management system for collecting data from accounts hosted by a cloud-based data warehousing system on different cloud platforms or in different cloud regions of a cloud platform. Collection of data in the multi-cloud platform and/or multi-cloud region environments may be facilitated by the on-demand creation of one or more data collection accounts. Based on the collected data, one or more recommendations, notifications, or alerts associated with usage of the data warehousing system may be generated.

Abstract: Methods, systems, and apparatuses for using machine learning to simulate changes to virtual warehouse configurations without access to data stored by corresponding virtual warehouses are described herein. A computing device may receive first performance metrics of one or more first queries executed by one or more first virtual warehouses. The computing device may then generate a trained machine learning model to simulate operating parameter changes and predict virtual warehouse query performance metrics. The computing device may then provide performance metrics for one or more second virtual warehouses to the trained machine learning model. Output from the trained machine learning model may comprise performance metric predictions corresponding to a given configuration of a virtual warehouse. Predicted costs associated with those performance metric predictions may be output and, based on user input, the operating parameter of the at least one of the one or more second virtual warehouses may be modified.

Abstract: Methods, systems, devices, and computer-readable media used by a cloud data management system for collecting data from accounts hosted by a cloud-based data warehousing system on different cloud platforms or in different cloud regions of a cloud platform. Collection of data in the multi-cloud platform and/or multi-cloud region environments may be facilitated by the on-demand creation of one or more data collection accounts. Based on the collected data, one or more data warehouse resources not managed by the cloud data management system may be discovered, configured, and onboarded to the cloud data management system.

Abstract: Methods, systems, devices, and computer-readable media used by a cloud data management system for collecting data from accounts hosted by a cloud-based data warehousing system on different cloud platforms or in different cloud regions of a cloud platform. Collection of data in the multi-cloud platform and/or multi-cloud region environments may be facilitated by the on-demand creation of one or more data collection accounts. Based on the collected data, one or more data warehouse resources not managed by the cloud data management system may be discovered, configured, and onboarded to the cloud data management system.

Abstract: The present invention provides in one aspect azabicyclo and diazepine derivatives useful as modulators of muscarinic receptors. In another aspect, the present invention provides pharmaceutical compositions for treating ocular diseases, the compositions comprising at least one muscarinic receptor modulator.

Abstract: A bundle of roofing shingles, including at least four rows of roofing shingles, where the at least four rows of roofing shingles includes a first roofing shingle row, a second roofing shingle row, a third roofing shingle row, and a fourth roofing shingle row, where the first roofing shingle row includes a first roofing shingle having a first length; and where the second roofing shingle row includes: a second roofing shingle having a second length, and a third roofing shingle having a third length, where the second roofing shingle is adjacent the third roofing shingle, where the second length is greater than the third length, and where the second row is located above the first row.

Abstract: A decorative container device is disclosed that provides a multipurpose, weatherproof storage container for safely securing mementos at a gravesite. The decorative container device comprises a body component that is configured in a rectangular shape that measures approximately six inches in length and width and one to two inches in thickness. The body component would be a transparent, plastic structure that enables decorations like holiday cards and artwork to be seen through the container's surface. The body component also comprises hook and loop fasteners that allow the body component to be secured to a tombstone. Thus, each container device functions as a suitable way of showing affection to a loved one who has passed through different types of decorations inserted into the container.