Abstract: The present invention relates to an azolo compound of Formula (I) for use in the treatment of fibrosis, wherein the azolo compounds normalizes collagen I mRNA-levels of TGFB-activated fibroblasts and reverses collagen production to the normal levels that are seen in fibroblasts that are not stimulated.

Abstract: An information management system includes one or more client computing devices in communication with a storage manager and a secondary storage computing device. The storage manager manages the primary data of the one or more client computing devices and the secondary storage computing device manages secondary copies of the primary data of the one or more client computing devices. Each client computing device may be configured with a ransomware protection monitoring application that monitors for changes in their primary data. The ransomware protection monitoring application may input the changes detected in the primary data into a machine-learning classifier, where the classifier generates an output indicative of whether a client computing device has been affected by malware and/or ransomware. Using a virtual machine host, a virtual machine copy of an affected client computing device may be instantiated using a secondary copy of primary data of the affected client computing device.

Abstract: A system accesses transaction data associated with a plurality of transactions, and based on characteristics of the transaction data, determines a set of functions to be applied to the transaction data at different corresponding levels of granularity. Determining the set of functions includes determining parallel processing requirements corresponding to the set of functions and determining an execution order corresponding to the set of functions based on the parallel processing requirements. The system schedules parallel execution of (a) a first function on the transaction data at a first level of granularity to generate a first dataset having the first level of granularity, and (b) a second function on the transaction data at a second level of granularity to generate a second dataset having the second level of granularity.

Abstract: Some embodiments provide a method of performing load balancing for a group of machines that are distributed across several physical sites. The method of some embodiments iteratively computes (1) first and second sets of load values respectively for first and second sets of machines that are respectively located at first and second physical sites, and (2) uses the computed first and second sets of load values to distribute received data messages that the group of machines needs to process, among the machines in the first and second physical sites. The iterative computations entail repeated calculations of first and second sets of weight values that are respectively used to combine first and second load metric values for the first and second sets of machines to repeatedly produce the first and second sets of load values for the first and second sets of machines.

Abstract: Developability of a drug candidate is decided based on the Pharmacokinetic (PK) and Pharmacodynamic (PD) parameters of the drug candidate under investigation. Present disclosure provides systems and methods that are implemented using universal PK parameters' bounds and optimization technique(s) to produce robust and optimized set of PK parameters. More specifically, the system and method for estimating optimized set of PK parameters by a) creating universal parameter bounds, b) performing logical operations on universal PK parameters' bounds to create multiple bound combinations c) computing a performance threshold for residual sum of squares (RSS) d) performing global optimization to estimate globally optimized set of PK parameters act as initial PK parameters and e) performing local optimization of initial PK parameters to estimate locally optimized set of PK parameters, the best PK parameters that can used for assessing the developability of drug candidates within Pharmaceutical industry.

Abstract: A centralized computing system for vehicle computing, comprising a first node module comprising: a first circuit board configured to control a first function of a vehicle; and a first housing enclosing the first circuit board and coupled to at least one component of the first circuit board; and a second node module comprising: a second circuit board configured to control a second function of the vehicle; and a second housing enclosing the second circuit board and coupled to at least one component of the second circuit board.

Abstract: The technology disclosed herein enables software-defined functions in a vehicle using asymmetric distributed compute nodes. In a particular example, a system includes one or more higher-performance compute nodes of the asymmetric distributed compute nodes and one or more lower-performance compute nodes of the asymmetric distributed compute nodes. The system further includes a communication backbone over which the higher-performance compute nodes and the lower-performance compute nodes communicate. The one or more higher-performance compute nodes execute first processes for performing a first portion of the software-defined vehicle functions for the vehicle and the one or more lower-performance compute nodes execute second processes for performing a second portion of the software-defined vehicle functions for the vehicle.

Abstract: The method of some embodiments assigns a client to a particular datacenter from among multiple datacenters. The method is performed at a first datacenter, starting when it receives security data associated with a second datacenter. Then the method receives a DNS request from the client. Based on the received security data, the method sends a DNS reply assigning the client to the particular datacenter instead of the second datacenter. The receiving and sending is performed by a DNS cluster of the datacenter in some embodiments. The particular datacenter includes a set of servers implementing an application for the client in some embodiments. The datacenter to which the client gets assigned can be the first datacenter or a third datacenter.

Abstract: A computer-implemented method can be used for controlling sorting of plastic compounds. The method involves providing a computer-based database containing entries on a plurality of markers each identifying a specific plastic compound; receiving scan data from a sample of a plastic compound; identifying a marker in the sample of the plastic compound based on the received scan data and the plurality of markers of the database; and sorting of plastic compounds based on the identified marker of the sample of the plastic compound.

Abstract: A network data object processing system, associated methods, and computer program products are provided. A network data object management module manages purchases represented by the network data object. A hierarchical database management module manages relevancies and relationships amongst registered users, self-selected personas, child-related personas, and co-participant personas. An interdependence identification engine identifies further relationships amongst active data objects and registered users that make associated purchases, and may further correct relationships that may be incorrectly configured by client devices. A multi-carousel interface improves the network data object processing system by increasing relevancy of impressions and improving transparency to users.

Abstract: Techniques for detecting contact of a probe on a surface are described. A computer-implemented method for detecting nanoscale contact of a probe tip on a surface includes positioning a probe tip at a first displacement relative to a sample surface, the sample surface exposing one or more nanostructures. The method can include displacing the probe tip toward the sample surface. The method can include generating response data for the probe tip based at least in part on one or more electrical properties of the probe tip. The method can also include detecting a contact between the sample surface and the probe tip using the response data.

Abstract: An information management system includes one or more client computing devices in communication with a storage manager and a secondary storage computing device. The storage manager manages the primary data of the one or more client computing devices and the secondary storage computing device manages secondary copies of the primary data of the one or more client computing devices. Each client computing device may be configured with a ransomware protection monitoring application that monitors for changes in their primary data. The ransomware protection monitoring application may input the changes detected in the primary data into a machine-learning classifier, where the classifier generates an output indicative of whether a client computing device has been affected by malware and/or ransomware. Using a virtual machine host, a virtual machine copy of an affected client computing device may be instantiated using a secondary copy of primary data of the affected client computing device.

Abstract: An information management system includes one or more client computing devices in communication with a storage manager and a secondary storage computing device. The storage manager manages the primary data of the one or more client computing devices and the secondary storage computing device manages secondary copies of the primary data of the one or more client computing devices. Each client computing device may be configured with a ransomware protection monitoring application that monitors for changes in their primary data. The ransomware protection monitoring application may input the changes detected in the primary data into a machine-learning classifier, where the classifier generates an output indicative of whether a client computing device has been affected by malware and/or ransomware. Using a virtual machine host, a virtual machine copy of an affected client computing device may be instantiated using a secondary copy of primary data of the affected client computing device.

Abstract: The invention relates to a method for manufacturing a pellet in a pellet mill, which method comprises the steps of (A) pressing a mixture for compaction by a roller through a nozzle to obtain a strand, and (B) comminuting the strand to obtain the pellet, wherein the mixture for compaction comprises (i) 87 to 97 wt. % of a polymer stabilizer, which is tris(2,4-ditert-butylphenyl) phosphite (CAS-No. 31570-04-4), and (ii) 3 to 13 wt. % of a processing aid, which is a propylene-ethylene copolymer and which possesses a melting enthalpy below 100 J/g at 101.32 kPa. The pellet is useful for a dust-free handling of its polymer stabilizer at a manufacturing of the stabilized polymer. Furthermore, a method for stabilizing a polymer, which is a polyolefin, a polystyrene or a mixture thereof, is disclosed, which comprises the dosing of the pellet to the polymer.

Abstract: A computer system and method for managing simulation artifacts is disclosed herein. The method includes parsing at least one first workspace associated with simulation of at least one first product to generate one or more first simulation artifacts. Further, at least one knowledge graph is generated by mapping the one or more first simulation artifacts corresponding to the at least one first product to a predetermined ontology model. Further, a user's intent to modify at least one second simulation artifact in a second workspace is captured based on interaction of the user with a simulation modelling user interface. The second workspace is associated with simulation of a second product. Further, one or more recommendations for modifying the at least one second simulation artifact are generated, based on one or more properties of a contextually similar first simulation artifact, and displayed on the simulation modelling user interface.

Abstract: A computer system and method for managing a geometric design created using a CAD tool is provided. The method includes receiving, by a processor, a request for generating a machine-comprehensible graph data model corresponding to a geometric design created using a CAD tool, from a requesting entity. Further, a plurality of features associated with the geometric design are parsed to identify a set of first attributes indicative of a design intent. One or more of the features are associated with at least one sketch used for creation of the geometric design and at least one operation performed on the sketch. Further, the at least one sketch is analyzed to compute a set of second attributes indicative of a vector representation of the sketch. Further, the machine-comprehensible graph data model generated based on the set of first attributes and the set of second attributes, is provided to the requesting entity.

Abstract: The invention relates to a method for manufacturing a pellet in a pellet mill, which method comprises the steps of (A) pressing a mixture for compaction by a roller through a nozzle to obtain a strand, and (B) comminuting the strand to obtain the pellet, wherein the mixture for compaction comprises (i) 87 to 97 wt. % of a polymer stabilizer, which is tris(2,4-ditert-butylphenyl) phosphite (CAS-No. 31570-04-4), and (ii) 3 to 13 wt. % of a processing aid, which is a propylene-ethylene copolymer and which possesses a melting enthalpy below 100 J/g at 101.32 kPa. The pellet is useful for a dust-free handling of its polymer stabilizer at a manufacturing of the stabilized polymer. Furthermore, a method for stabilizing a polymer, which is a polyolefin, a polystyrene or a mixture thereof, is disclosed, which comprises the dosing of the pellet to the polymer.

Abstract: Generally described, one or more aspects of the present application correspond to techniques for dynamic management of the timing of data transfer between a connected vehicle and a remote computing system. For example, during navigation a connected vehicle may switch between connections to a number of different networks, each having different parameters (cost, bandwidth, quality, etc.). The disclosed techniques can use inputs including vehicle location, available networks, and data transfer timing requirements to optimize data transfer with respect to one or more of these parameters.

Abstract: Provided are embodiments for performing automated defect detection for a flexible member using image processing. The techniques include monitoring, by one or more sensors, a flexible member to obtain sensor data, converting the sensor data from the one or more sensors to image data, and receiving reference image data to compare to the image data. The techniques also include determining a defect based on the comparison and threshold setting information for the flexible member, and transmitting a notification based on the defect.

Abstract: In various exemplary embodiments, a system and associated method to perform an adaptive risk-based assessment of a user is disclosed. A method includes receiving a request from a user to perform an action at an electronic marketplace, retrieving a plurality of risk assessment factors associated with the action and the user, performing a risk assessment process on the risk assessment factors to identify a risk mitigation process, requesting that the user perform the identified risk mitigation process, and allowing the user to perform the action in response to the user completing the risk mitigation.