Abstract: Aspects of the subject disclosure may include, for example, obtaining an update to a feature present within a fleet of assets, based on the obtaining of the update, analyzing data to identify first assets included within the fleet of assets for receiving the update, the first assets being less than an entirety of the fleet of assets, and transmitting the update to the first assets in accordance with the analyzing. Other embodiments are disclosed.

Abstract: The present disclosure relates to the estimating of data cooling specific to the individual location of the data centers by re-rating the performance rating of the modular cooling units. By analyzing data center specific metrics, the performance of the modular cooling units may be adjusted to account for changes in weather conditions, fan coil performance, hydraulic capacity, cold aisle temperatures, etc. All data may be provided to the user to allow for more efficient data cooling, predictions based on weather changes, and real time adjustments.

Abstract: Provided herein is a masterbatch including a grafted silicone polyether and a porous inorganic nanoparticle, bacteria repellant polymer composites including the same, and methods of preparation thereof.

Abstract: A spectrograph includes a base, a first optic mounted with respect to the base, a second optic mounted with respect to the base, and a third optic mounted with respect to the base. A first relative position between the first optic and the second optic is adjustable about a first pivot axis. A second relative position between the second optic and the third optic is adjustable about a second pivot axis independently from the adjustability of the relative position between the first optic and the second optic. The second pivot axis is substantially coincident with the first pivot axis, and a distance between the third optic and the second optic is fixed during adjustment of the second relative position.

Abstract: A method includes selecting a first machine learning model from a plurality of machine learning models that are trained for use in performing geolocation, wherein the first machine learning model is selected to perform geolocation within a first cell of a plurality of cells of a wireless network, acquiring event data from a plurality of wireless devices within the first cell, grouping the event data into a plurality of records, wherein each record of the plurality of records contains event data that indicates a common wireless device of the plurality of wireless devices, a common cell of the plurality of cells, and a common timestamp, and generating a predicted location of a first wireless device of the plurality of wireless devices, using the first machine learning model, wherein the first machine learning model outputs the predicted location in response to an input of a record of the plurality of records.

Abstract: The present invention relates to crystalline forms of the free base of the c-Met inhibitor, Compound 1. The invention also relates to crystalline forms of salts of Compound 1. The invention also relates to pharmaceutical compositions comprising the solid polymorphs of the free base and salts of Compound 1. The invention further relates to methods of treating a disease, disorder, or syndrome mediated at least in part by modulating in vivo activity of a protein kinase.

Abstract: A reagent reaction determination method and device applied to a test tube, a computer-readable storage medium and a test tube, wherein, the reagent reaction determination method comprises: outputting a brightness control signal to the light-incident component to control the light-incident component to emit the RGB light, and to adjust the brightness control signal according to a preset step length, so as to adjust the brightness of the RGB light; detecting brightness variations of the light derived by the light-emergent component to generate an electrical signal detection value; perform an interpolation calculation on the present brightness control signal to obtain an estimated value of the brightness control signal when the electrical signal detection value is less than a preset threshold, and determining a reaction result in the reagent reaction chamber according to the estimated value of the brightness control signal. The reagent reaction determination device can greatly improve the user experience.

Abstract: A method for preparing a bacteria repellant masterbatch, bacteria repellant polymer composites comprising the same, and compositions and articles prepared therefrom.

Abstract: A method of facilitating a virtual meeting using virtual interactions with three-dimensional virtual objects to change statuses of issues being tracked by an issue tracking system may include, causing a three-dimensional virtual environment to be displayed to a first user and a second user, the three-dimensional virtual environment including a representation of the first user, a representation of the second user, a representation of a three-dimensional workspace, a first virtual object displayed in the three-dimensional workspace and representing a first issue in an issue tracking system, and a second virtual object displayed in the three-dimensional workspace and representing a second issue in the issue tracking system.

Abstract: The present invention relates to crystalline forms of the free base of the c-Met inhibitor, Compound 1. The invention also relates to crystalline forms of salts of Compound 1. The invention also relates to pharmaceutical compositions comprising the solid polymorphs of the free base and salts of Compound 1. The invention further relates to methods of treating a disease, disorder, or syndrome mediated at least in part by modulating in vivo activity of a protein kinase.

Abstract: A method includes selecting a first machine learning model from a plurality of machine learning models that are trained for use in performing geolocation, wherein the first machine learning model is selected to perform geolocation within a first cell of a plurality of cells of a wireless network, acquiring event data from a plurality of wireless devices within the first cell, grouping the event data into a plurality of records, wherein each record of the plurality of records contains event data that indicates a common wireless device of the plurality of wireless devices, a common cell of the plurality of cells, and a common timestamp, and generating a predicted location of a first wireless device of the plurality of wireless devices, using the first machine learning model, wherein the first machine learning model outputs the predicted location in response to an input of a record of the plurality of records.

Abstract: Bacteria repellant polymer composite having a reduced yellowness index prepared by melt processing a base polymer an epoxy resin and a bacteria repellant agent and methods of preparation thereof.

Abstract: The present invention relates to crystalline forms of salts of Compound 1. The invention also relates to pharmaceutical compositions comprising the solid crystalline salts of Compound 1. The invention further relates to methods of treating a disease, disorder, or syndrome mediated at least in part by modulating in vivo activity of a protein kinase.

Abstract: The present invention relates to crystalline forms of the free base of the c-Met inhibitor, Compound 1. The invention also relates to crystalline forms of salts of Compound 1. The invention also relates to pharmaceutical compositions comprising the solid polymorphs of the free base and salts of Compound 1. The invention further relates to methods of treating a disease, disorder, or syndrome mediated at least in part by modulating in vivo activity of a protein kinase.

Abstract: Aspects of the subject disclosure may include, for example, obtaining an indication that a communication device can access a communication service via a first radio access technology, configuring, responsive to the obtaining of the indication, the communication service in accordance with the first radio access technology, resulting in a configured communication service, receiving a request for the communication service from the communication device, and providing the configured communication service to the communication device responsive to the receiving of the request. Other embodiments are disclosed.

Abstract: A method includes selecting a first machine learning model from a plurality of machine learning models that are trained for use in performing geolocation, wherein the first machine learning model is selected to perform geolocation within a first cell of a plurality of cells of a wireless network, acquiring event data from a plurality of wireless devices within the first cell, grouping the event data into a plurality of records, wherein each record of the plurality of records contains event data that indicates a common wireless device of the plurality of wireless devices, a common cell of the plurality of cells, and a common timestamp, and generating a predicted location of a first wireless device of the plurality of wireless devices, using the first machine learning model, wherein the first machine learning model outputs the predicted location in response to an input of a record of the plurality of records.

Abstract: This disclosure describes an anti-viral, anti-bacterial and anti-fungal portable personal toilet seat that is resistant to algae, mold and mildew and that can be safely folded and held without the danger of pinched fingers and without a handle.

Abstract: Aspects of the subject disclosure may include, for example, obtaining an indication that a communication device can access a communication service via a first radio access technology, configuring, responsive to the obtaining of the indication, the communication service in accordance with the first radio access technology, resulting in a configured communication service, receiving a request for the communication service from the communication device, and providing the configured communication service to the communication device responsive to the receiving of the request. Other embodiments are disclosed.

Abstract: Bacteria repellant polymer composite having a reduced yellowness index prepared by melt processing a base polymer an epoxy resin and a bacteria repellant agent and methods of preparation thereof.