Abstract: A corrosion resistant duplex stainless steel (ferritic austenitic alloy) is suitable for use in a plant for the production of urea. Uses of the corrosion resistant duplex stainless steel include in objects made of said duplex stainless steel, in methods for the production of urea, in a plant for the production of urea comprising one or more parts made from said duplex stainless steel, and in methods of modifying an existing plant for the production of urea. In one aspect, the composition consists of in weight % (wt %): C 0.010 to 0.015; S 0.08 to 0.23; Mn 1.0 to 1.05; Cr 29.07 to 29.92; Ni 5.76 to 7.17; Mo 3.0 to 4.0; W max 2.55; N 0.3 to 0.35; Cu max 0.01; S max 0.008; P max 0.008; at least one of Ti, Nb, Hf, Ca, Ba, V, and B max 0.5 total; balance Fe and unavoidable occurring impurities.

Abstract: A camera includes a camera housing and an objective carrier assembly having a carrier where a camera objective and a camera sensor are mounted. A method for manufacturing the camera includes aligning the objective carrier assembly in relation to a first housing part of the camera housing. The method includes mounting the objective carrier assembly over the first housing part in an aligned position. The method includes mounting a second housing part on the first housing part.

Abstract: A multiphase motor control system and method of operation. Discloses embodiments comprise receiving multiphase reference commands, transforming the multiphase reference commands into corresponding reference symmetrical components, receiving feedback information representative of multiphase drive signals in a motor, transforming the feedback information into corresponding feedback symmetrical components, generating multiphase motor control symmetrical components based on the reference symmetrical components and the feedback symmetrical components, and transforming the multiphase motor control symmetrical components into corresponding multiphase motor drive control signals.

Abstract: The present disclosure generally relates to retrieving and displaying contextually-relevant media content. In some embodiments, a device receives a request to display contextually-relevant media and, in response, displays a representation of a collection of media items relevant to a context of the device. In some embodiments, a device displays a visual media item of a sequence of items and, in response to receiving a swipe gesture, displays a detail user interface comprising related content for the media item. In some embodiments, a device, while displaying a first detail user interface, displays an affordance corresponding to a plurality of individuals identified as having attended a first event, that when selected, causes display of visual media corresponding to a plurality of events attended by the individuals. In some embodiments, a device, in response to user input, obtains an automatically-generated collection of visual media and displays a corresponding affordance.

Abstract: Systems and methods for assessing cybersecurity risk of a computer network include the use of a risk model application that is configured to determine an initial cyber risk score value based upon an underwriting process. A cyber risk data stream is sent from the client's computer network to the system processor to periodically calculate an updated cyber risk score based upon actual data. The system processor is adapted to use the data stream to generate client information that is accessible by the client via a web-based client portal. In embodiments, the cyber risk data stream can be actively monitored to identify a threat of a cybersecurity breach.

Abstract: A cartridge having a housing, an outer looped element affixed at least partially in a cavity that spans substantially all of a length of the housing. A movable inner looped element is mounted a roller and positioned inside the outer looped element. Panels are radially attached to the movable inner looped element such that each of the plurality of panels extends toward the outer looped element. Movable chambers defined by a space between the panels. A first opening that spans substantially all of a first side of the outer looped element. A portion of the outer looped element defines a planar surface at a lower end portion of the outer looped element. An elongated tab extends from an end of the planar surface and protrudes into a portion of the first opening.

Abstract: The various implementations described herein include a video camera assembly that includes: (1) a housing; (2) an image sensor encased in the housing and configured to capture activity of the smart home environment; (3) a wireless radio configured to transmit video frames captured by the image sensor to an electronic device via a remote server; (4) at least one infrared transmitter configured to selectively illuminate the smart home environment; (5) one or more circuit boards encased in the housing, the one or more circuit boards including at least one processor mounted thereon; and (6) a heating component coupled to the image sensor, the heating component configured to continuously maintain the image sensor at a temperature above a threshold temperature while the image sensor is capturing the activity of the smart home environment.

Abstract: Systems and methods are provided in order to avoid ingesting the entire contents of one or more data sources. An object may be associated with one or more pieces/fragments of data that can be stored in different data sources. When a request for the object is initiated, a search for those pieces/fragments of data can be performed. Nodes associated with each data source may generate data queries appropriate for its corresponding data source, retrieve, and if needed transform the data into an object-based data structure. Any pieces/fragments of data that have been discovered and retrieved can be joined, e.g., by an application programming interface server, and forwarded to a requesting client or application. In this way, only data relevant to the object is obtained. Moreover, object versioning can be employed so that the most up-to-date data is obtained.

Abstract: Systems and methods for assessing cybersecurity risk of a computer network include the use of a risk model application that is configured to determine an initial cyber risk score value based upon an underwriting process. A cyber risk data stream is sent from the client's computer network to the system processor to periodically calculate an updated cyber risk score based upon actual data. The system processor is adapted to use the data stream to generate client information that is accessible by the client via a web-based client portal. In embodiments, the cyber risk data stream can be actively monitored to identify a threat of a cybersecurity breach.

Abstract: Aspects of the present disclosure include systems, methods, computing devices, computer-implemented methods, and the like for modeling and/or simulating performance of a telecommunications network during one or more failure scenarios that reduces computational time and/or power over previous simulation techniques. Modeling and simulating the network may include generating an initial network model from network data information and applying one or more transformations to the initial network model to reduce the size of the model. Following transformation, simulation methods may be applied to the generated network model based on routing characteristics of the components of the network. To reduce the computations utilized to simulate such components and/or routing decisions in the network, one or more simulation algorithms may be applied to the transformed network model to reduce the number of routing decisions simulated.

Abstract: Systems and methods are described for generating and/or displaying an overall home score for a property. The method may include: retrieving one or more attributes of a property; determining one or more home score factors from the attributes; generating an overall home score; generating a neighborhood score; and displaying the overall home score, the neighborhood score and/or a map.

Abstract: Systems and methods are described for generating and/or displaying an overall home score for a property. The method may include: retrieving one or more attributes of a property; determining one or more home score factors from the attributes; generating an overall home score; generating a neighborhood score; and displaying the overall home score, the neighborhood score and/or a map.

Abstract: A method and system for predicting a state of a cell in a radio access network are described herein. The method includes obtaining information of the cell, determining one or more sets of conditions based on the information and predicting that the cell will enter a sleeping state when at least one set of the one or more sets of conditions is fulfilled. The method further includes outputting an action to prevent the cell from entering the sleeping state based on the probability and a number of wireless devices currently connected to the cell.

Abstract: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a property; (2) determining, based upon the home data for the property, one or more home score factors, wherein the determining may include: (i) analyzing, using a trained machine learning data evaluation model, the home data for the property to determine home characteristic data for the property, (ii) analyzing, using the trained machine learning data evaluation model, the home data for the property to determine a likelihood of loss associated with the property, and (iii) determining, based upon the home characteristic data for the property and the likelihood of loss associated with the property; and (3) generating, based upon the one or more home score factors, a home score for the property.

Abstract: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a property; (2) determining, based upon the home data for the property, one or more home score factors, wherein the determining may include: (i) analyzing, using a trained machine learning data evaluation model, the home data for the property to determine home characteristic data for the property, (ii) analyzing, using the trained machine learning data evaluation model, the home data for the property to determine a likelihood of loss associated with the property, and (iii) determining, based upon the home characteristic data for the property and the likelihood of loss associated with the property; and (3) generating, based upon the one or more home score factors, a home score for the property.

Abstract: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) receiving home telematics data associated with a property for a user; (2) analyzing, according to a machine learning model, the home telematics data to determine age data for one or more components of the property, wherein the one or more components of the property are associated with a structural integrity of the property; (3) determining, based upon at least the determined age data, a home health indicator for the property, wherein the home health indicator for the property is associated with a determined age for the property; and (4) generating, based upon at least the determined home health indicator, a home score for the property.

Abstract: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving at least one of home data for a property or user data for a user; (2) determining, using a trained machine learning evaluation model, one or more home score factors based upon at least one of the home data or the user data; (3) receiving, from the user, a home modification indication; (4) modifying, based upon the home modification indication, at least one of the one or more home score factors to create one or more modified home score factors; and (5) generating, based upon the one or more modified home score factors, a home score for the property.

Abstract: Systems and methods are described for analyzing home data to generate a home score. The method may include: retrieving home data for a first property; determining that the first property shares home characteristics with a second property; retrieving past hazard data associated with the second property; determining, based upon at least the home data and the past hazard data, one or more first home score factors, wherein the determining includes: analyzing, using a trained machine learning data evaluation model, the home data to determine home characteristic data for the first property, determining second home score factors for the second property based at least upon the past hazard data, and determining, based upon the home characteristic data and the second home score factors, the one or more first home score factors; and generating, based upon the one or more first home score factors, a home score for the first property.

Abstract: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a first property; (2) determining, using a trained machine learning evaluation model, one or more home score factors based upon at least the home data; (3) generating, based upon the one or more home score factors, a home score for the first property; (4) retrieving past hazard data associated with a second property; and (5) generating based upon at least the past hazard data, a home modification recommendation.

Abstract: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving at least one of home data for a property or user data for a user; (2) determining, using a trained machine learning evaluation model, one or more home score factors based upon at least one of the home data or the user data; (3) receiving, from the user, a home modification indication; (4) modifying, based upon the home modification indication, at least one of the one or more home score factors to create one or more modified home score factors; and (5) generating, based upon the one or more modified home score factors, a home score for the property.