Abstract: A thermoformable decorative material for an automotive interior includes: a decorative layer including a textile substrate; a digitally printed design disposed on at least one side of the textile substrate and having dispersion ink and/or pigment ink; and an overlay adhesive coating applied to the digitally printed design. The overlay adhesive coating has an adhesive that includes polyurethane and/or polyacrylate.

Abstract: This application relates to ransomware detection and data pruning management. Ransomware typically involves an I/O heavy process of encrypting data files and/or deleting or renaming the original files. Thus, ransomware attacks may be detected by analyzing the I/O activity in a given file system. In some embodiments, a software module running on a client machine manages copying, archiving, migrating, and/or replicating of primary data and restoring and/or pruning secondary data (e.g., backup copies of the primary data). When a potential ransomware attack is detected, the software module is immediately stopped so that the software module does not prune any data that may need to be restored. Upon receiving user input that indicates that the client machine is not under a ransomware attack, the software module is allowed to resume its operations, including pruning of the secondary data.

Abstract: A method and system for remotely executing commands at a client computing device. The method comprises receiving a selection of commands to transmit to a group of client computing devices via a webserver. The group of client computing devices, as well as the selected commands, are associated with a group identifier. The method validates access privileges of the administrator to transmit the selected commands to the group of client computing devices. Upon receipt of the selected commands, the webserver transmits the selected commands to at least one registered proxy server. The registered proxy server then determines one or more client identifiers associated with the group identifier. Each client identifier is assigned to a client computing device. Upon receipt of the selected commands, the registered proxy server transmits the selected commands to client computing devices in the group of client computing devices matching the determined client identifiers.

Abstract: A method of summarizing data files includes implementing, at a server, a storage event for a data file, analyzing the data file and creating a summary of the data file, and storing the summary linked to the data file.

Abstract: A method and system for remotely executing commands at a client computing device. The method comprises receiving a selection of commands to transmit to a group of client computing devices via a webserver. The group of client computing devices, as well as the selected commands, are associated with a group identifier. The method validates access privileges of the administrator to transmit the selected commands to the group of client computing devices. Upon receipt of the selected commands, the webserver transmits the selected commands to at least one registered proxy server. The registered proxy server then determines one or more client identifiers associated with the group identifier. Each client identifier is assigned to a client computing device. Upon receipt of the selected commands, the registered proxy server transmits the selected commands to client computing devices in the group of client computing devices matching the determined client identifiers.

Abstract: A system is provided and generally includes a server, an associate computing device, and a customer computing device. The server may receive data from the customer computing device indicating that a customer is picking up items from a predetermined location. The server may compute an estimated wait time for the customer based on one or more machine learning processes. In some examples, a number of unexpected customers that may arrive is determined. The machine learning process may compute the estimated wait time based on the number of unexpected customers. The machine learning process may be trained with historical data. The estimated wait time is transmitted to the customer computing device, and is displayed to the customer. In some examples, the server sends a list of customers waiting to be serviced to the associate computing device. The list may be prioritized based on estimated wait times for those customers.

Abstract: A system for identifying genomic features in an embryo candidate is disclosed. The system includes a genomics sequencer, a computing device and a display. The genomic sequencer is configured to obtain sequence information from concatenated genomic fragments derived from an embryo candidate. The concatenated genomic fragments each contain at least one genomic linker segment and at least one genomic fragment from the embryo candidate. The computing device is communicatively connected to the genomic sequencer and includes a sequence alignment engine and a genomic features identification engine. The sequence alignment engine is configured to subtract out sequence information related to the genomic linker segment portion of the concatenated genomic fragments and align the genomic fragment sequences to a reference genome. The genomic features identification engine is configured to identify genomic features in the aligned genomic fragment sequences.

Abstract: The classification of disease status based on the stool microbiome of the subject, or other relevant DNA, is a challenging field with a lack of accurate diagnostics. Accordingly, the inventors have developed systems and methods which accurately classify the disease status of a subject using a k-mer based algorithm for processing a subject's microbial DNA. In some examples, this includes using a logistic regression algorithm trained with L1-regularization to process DNA read derived k-mers from a subject's sample.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: receiving transaction data comprising items previously purchased; comparing the first item to the second item; identifying the first item to be related to the second item; aggregating the first product type and the second product type into a first category bundle having a first theme defined by the first and second product types; assigning a first affinity score to the first and second items based on the transaction data; detecting the first item as being a first item of interest; and when the first affinity score of the first item exceeds a threshold, displaying, to the user while browsing the one or more websites, the first category bundle comprising the first and second items. Other embodiments are described.

Abstract: The invention provides a nonwoven laminate, comprising in order (A) to (E): a spunbond nonwoven layer (A) comprising fibres, which comprise polyethylene terephthalate (PET) and copolyester; an optional spunbond nonwoven layer (B) comprising fibres, which comprise polyethylene terephthalate (PET) and copolyester, the nonwoven layer (B) having a higher copolyester content than nonwoven layer (A); a needled staple fibre nonwoven layer (C), comprising: monocomponent polyethylene terephthalate (PET) staple fibres (c1), and multicomponent staple fibres (c2), which comprise at least a polyethylene terephthalate (PET) component and a copolyester component; an optional spunbond nonwoven layer (D) comprising fibres, which comprise polyethylene terephthalate (PET) and copolyester, the nonwoven layer (D) having a higher copolyester content than nonwoven layer (E); a spunbond nonwoven layer (E) comprising fibres, which comprise polyethylene terephthalate (PET) and copolyester; wherein all layers are melt-bonded to each ot

Abstract: A content analysis system of an information management system can analyze data for one or more data governance tasks. The content analysis system can reduce the overhead on the information management system when identifying sensitive data by analyzing a portion of the data in the file without analyzing the entirety of the file. The content analysis system may reduce overhead by analyzing a portion of files that include structured data. If the portion of the file that includes structured data does not include sensitive data, it is often the case that the entire file excludes sensitive data. Thus, overhead can be reduced by analyzing the portion of the file instead of the entire file. Further, the content analysis system can modify an information management job based on the determination of the inclusion of sensitive data to comply with data protection and privacy rules.

Abstract: In user equipment, a wireless interface circuit simultaneously communicates with two communication networks. A control circuit decides to use a first reserved power of one communication network where URLLC transmission is necessary, and a second reserved power of the other communication network in which the URLLC is not operated, for the URLLC transmission as to the one communication network. The wireless interface circuit transmits URLLC signals over the one communication network, using the first reserved power and the second reserved power.

Abstract: Categories of items are dynamically generated by analyzing purchasing habits across multiple customers. Product categories showing affinity one with another are grouped together and offered to customers as a bundle. Particular items within bundled categories are selected by analyzing purchasing habits with respect to various customer demographic profile habits.

Abstract: A method and system of automated person detection and notification is disclosed. Imaging data is received from at least one imaging device configured to provide a field-of-view of a predetermined area associated with a retail location. An image recognition process is implemented and configured to identify at least one person in the image data and an alert indicating at least one person is identified within the image data is generated. The alert is provided to at least one device registered to a predetermined user.

Abstract: A new approach is proposed that contemplates systems and methods for automated curbside fulfillment. Traditionally, a user would check in for item order fulfillment at a kiosk within a distribution center to receive an item order after a time dictated by a merchant. However, automated curbside fulfillment allows a user to receive an item order without exiting the user's vehicle and at a time dictated by the user, not by the merchant. This enhances the user's experience by reducing the amount of time that a user must take for item order fulfillment after availability at the distribution center and by catering to the user's schedule.

Abstract: A system is provided and generally includes a server and an associate computing device. The server may receive location video data comprising at least one image from a camera directed to a location, such as a designated area of a parking lot. The server may detect one or more objects in the image, and determine a bounding box based on the detected objects. The server may also determine a confidence value corresponding to the bounding box. The confidence value may be determined based on an area of the image defined by the bounding box and a predefined class. The server may then generate an arrival message based on the determined confidence value, and transmit the arrival message to the associate computing device.

Abstract: A method and system of handling an alternative pick-up using vehicle information is disclosed. Imaging data is received from at least one imaging device. The at least one imaging device is configured to provide a field-of-view of a predetermined area associated with a retail location. A vehicle identifier for each vehicle within the image data is extracted and compared to each user profile associated with an order in a set of orders. Each user profile includes a primary vehicle identifier and at least one secondary vehicle identifier and the extracted vehicle identifier is compared to the at least one secondary vehicle identifier in each user profile. The extracted vehicle identifier is associated with a first order in the set of orders when the extracted vehicle identifier matches the secondary vehicle identifier of the user profile of the first order.

Abstract: A backup or storage management system is provided that can secure data within a primary storage environment that stores data in an unsecured format. The storage management system can automatically analyze data received for backup from the primary storage environment and determine whether the data includes information that has been identified as sensitive and/or information that is determined within a threshold degree of probability to be sensitive. The storage management system can then modify the storage of the data that includes sensitive information at the primary storage environment, thereby enabling the data to be secured within the unsecured, or partially secured, primary storage environment. Advantageously, in certain embodiments, by securing data with sensitive information within an unsecured storage environment, embodiments disclosed herein can reduce the occurrences of a data breach or data leak.

Abstract: The invention refers to the use of a parent solution (A) during a method for producing fibers for a fiber fleece by a so-called solution blow spinning. Water is used as solvent for the parent solution (A). At least one water-soluble polymer and preferably exactly one water-soluble polymer is dissolved in the water of the parent solution (A). The parent solution (A) additionally contains at least one surfactant and optionally plasticizer for the used at least one polymer respectively. By means of a parent solution (A) it is possible to produce fibers (24) by solution blow spinning.

Abstract: Systems and methods that enable an information management system to utilize machine learning processes to modify and/or reconfigure presentation of mailbox contents, such as mail objects (e.g., email messages), are described. The systems and methods may provide data associated with mail objects to a machine learning system, which runs various machine learning processes using the mail object data. The machine learning processes may discover and/or identify connections between mail objects, such as connections between objects based on two or more objects sharing an associated product or service, an object being associated with a trending topic or issue, an object being associated and/or identified as having a relative high (or, low) priority, and so on.