Abstract: Methods and server systems for computing fraud risk scores for various merchants associated with an acquirer described herein. The method performed by a server system includes accessing merchant-related transaction data including merchant-related transaction indicators associated with a merchant from a transaction database. Method includes generating a merchant-related transaction features based on the merchant-related indicators. Method includes generating via risk prediction models, for a payment transaction with the merchant, merchant health and compliance risk scores, merchant terminal risk scores, merchant chargeback risk scores, and merchant activity risk scores based on the merchant-related transaction features. Method includes facilitating transmission of a notification message to an acquirer server associated with the merchant.

Abstract: Aspects of the invention described herein concern the incorporation of a FOXP3 cDNA (e.g., full-length human codon-optimized cDNA) into a FOXP3 gene or a non-FOXP3 locus so as to provide constitutive or regulated FOXP3 expression in a primary human CD34+ cells or cells derived from edited CD34+ cells. In some embodiments, guide RNA sequences that are directed to FOXP3, AAVS1, or other candidate loci are used for CRISPR/Cas9-mediated gene regulation, and gene delivery cassettes for HDR based gene-modification are provided.

Abstract: Systems, methods, and non-transitory computer-readable media for optimization and autoconfiguration of edge processing devices are disclosed. A cloud computing system can receive a request to configure a target building device. The cloud computing system can identify, based on the target building device, a connector template for the target building device. The connector template can include one or more parameters for a connector component configured to cause the target building device to communicate with the cloud computing system. cloud computing system can generate the connector component for the target building device based on the one or more parameters. cloud computing system can deploy the connector component to the target building device.

Abstract: The present disclosure generally relates to a pin-less substrate transfer apparatus and method for a processing chamber. The processing chamber includes a pedestal. The pedestal includes a pedestal plate. The pedestal plate has a radius, a top surface, and a bottom surface. The pedestal plate further includes a plurality of cut outs on a perimeter of the pedestal plate. Flat edges are disposed on opposite sides of the pedestal plate. Recesses are disposed in the bottom surface below each of the flat edges.

Abstract: A heating, ventilation, and air conditioning (HVAC) fault prediction system for a building including a processing circuit including a processor and memory, the memory having instructions stored thereon that, when executed by the processor, cause the processing circuit to receive HVAC data relating to a plurality of HVAC components, the HVAC data indicating performance of the plurality of HVAC components, generate, based on the received HVAC data, a univariate prediction model and a multivariate prediction model, generate, using the received HVAC data, one or more predicted operational parameters for the plurality of HVAC components corresponding to a future time period, and execute at least one of the univariate prediction model or the multivariate prediction model on the one or more predicted operational parameters to predict a HVAC fault associated with at least one of the plurality of HVAC components to occur during the future time period.

Abstract: A system and method for automatic coding out biases in applications, systems, and processes are disclosed. A processor operatively connected to a memory via a communication interface applies an intake process based on received inventory data to applications, systems, and processes and implements a machine learning model in response to applying the intake process. The processor also identifies areas of the potential bias data within the applications, systems, and processes by utilizing the machine learning model based on analyzing response data received during the intake process; generates output data that includes bias data and exceptions data identified for the applications, systems, and processes; and mitigates the bias data and exceptions data in response to the output data by implementing a mitigation process.

Abstract: Systems, apparatuses, and methods are described herein for generating structured data from unstructured data using natural language processing to generate a secure medical dashboard. The present invention is configured to identify at least one data input, wherein the at least one data input comprises unstructured data; apply at least one NLP pipeline to the at least one data input; parse the unstructured data to generate a parsed unstructured dataset; identify a medical relevance attribute; generate a structured document comprising the at least one term and associated medical relevance attribute; correlate the at least one term comprising the positive medical attribute to a medical entity title; generate a medical dashboard interface component comprising the at least one term comprising the positive medical attribute and the medical entity title; transmit the medical dashboard interface component to a user device; and generate a secure medical dashboard on the user device.

Abstract: An ATP non-competitive inhibitor of mitogen-activated protein kinase (MEK), inter alia, human MEK (MEK1 or MEK2) having the properties: (i) allosterically binds an inhibitor pocket formed at an interaction interface between human MEK (MEK1 or MEK2) and human Kinase Suppressor of Ras (KSR1 or KSR2 or BRAF) adjacent to ATP in a physiological complex between MEK and KSR (or BRAF), forming an inhibitor-inhibitor pocket complex; (ii) is an ATP non-competitive kinase inhibitor; (iii) a structure such that when bound to the inhibitor-inhibitor pocket complex, the complex comprises the structural elements: (a) at least one moiety of the inhibitor engaging A825 of KSR1, or P878 of KSR2; or R662 of BRAF (b) at least one moiety engaging R234 of MEK, wherein where R234 is within 5 ? from any atoms of KSR1 or KSR2 or BRAF is disclosed.

Abstract: The invention relates to methods for treating COVID-19 by targeting the inflammasome/caspase1/pyroptosis axis as a key inflammatory pathway. In particular, the invention relates to treating a patient infected with SARS-CoV-2 with an effective amount of one or more compounds that directly or indirectly inhibit one or more pathways of the inflammasome/caspase1/pyroptosis axis.

Abstract: Embodiments of the disclosure relate to an apparatus and method for processing semiconductor substrates. In one embodiment, a processing system is disclosed. The processing system includes an outer chamber that surrounds an inner chamber. The inner chamber includes a substrate support upon which a substrate is positioned during processing. The inner chamber is configured to have an internal volume that, when isolated from an internal volume of the outer chamber, is changeable such that the pressure within the internal volume of the inner chamber may be varied.

Abstract: A detectable probe comprising a moiety, which is an ATP non-competitive inhibitor of mitogen-activated protein kinase (MEK), inter alia, human MEK (MEK1 or MEK2) having the properties: (i) allosterically binds an inhibitor pocket formed at an interaction interface between human MEK (MEK1 or MEK2) and human Kinase Suppressor of Ras (KSR1 or KSR2 orBRAF) adjacent to ATP in a physiological complex between MEK and KSR (or BRAF), forming an inhibitor-inhibitor pocket complex; (ii) is an ATP non-competitive kinase inhibitor; (iii) a structure such that when bound to the inhibitor-inhibitor pocket complex, the complex comprises the structural elements: (a) at least one moiety of the inhibitor engaging A825 of KSR1, or P878 of KSR2; or R662 of BRAF (b) at least one moiety engaging R234 of MEK, wherein where R234 is within 5 A from any atoms of KSR1 or KSR2 or BRAF is disclosed. The probe further comprises a detectable label conjugated directly or through a linker to the inhibitor moiety.

Abstract: The present disclosure relates to a large-scale and low-latency data retrieval and storage system for a multi-tenant, cloud-based application, such as a Quote-to-Cash application. Conventionally, such applications rely heavily on SQL databases, which have difficultly providing service and performance at scale. The system of the present disclosure uses a distributed blob storage for data records, wherein each tenant has their own partition within the blob storage. Blob storage is able to provide service and performance at scale. Blob storage alone, however, cannot solve the needs of a multi-tenant, cloud-based application in which customer inputs complex data queries to retrieve data records. The present disclosure describes a system that converts basic blob storage into a data store can manage complex data queries in an efficient and scalable way for multiple tenants.

Abstract: Systems and/or techniques for facilitating relay attack prevention for electronic quick response (QR) codes are provided. In various embodiments, a system can determine a cardinality and a frame rate. In various aspects, the system can transmit a first electronic instruction to a mobile device, which can cause the mobile device to generate a set of interlaced frames having the determined cardinality. In various cases, the set of interlaced frames can respectively correspond to a set of portions of an electronic QR code, such that different frames from the set of interlaced frames depict different portions from the set of portions of the electronic QR code. In various aspects, the first electronic instruction can further cause the mobile device to sequentially render, at the determined frame rate, the set of interlaced frames on an electronic display of the mobile device.

Abstract: The invention relates to methods for treating COVID-19 by targeting the inflammasome/caspase1/pyroptosis axis as a key inflammatory pathway. In particular, the invention relates to treating a patient infected with SARS-CoV-2 with an effective amount of one or more compounds that directly or indirectly inhibit one or more pathways of the inflammasome/caspase1/pyroptosis axis.

Abstract: Systems and/or techniques for facilitating automatic detection of proxy-based phishing sites are provided. In various embodiments, a system can access a computer-executable web resource and can embed an authorization verification logic within the computer-executable web resource. In various aspects, upon execution of the computer-executable web resource, the authorization verification logic can be configured to: identify a computing domain via which the computer-executable web resource is being executed; compare the identified computing domain with one or more authorized computing domains; determine that the identified computing domain is an unauthorized proxy site if the identified computing domain does not match at least one of the one or more authorized computing domains; and initiate a remedial action based on determining that the identified computing domain is an unauthorized proxy site.

Abstract: A system and method for automatic coding out biases in applications, systems, and processes are disclosed. A processor operatively connected to a memory via a communication interface applies an intake process based on received inventory data to applications, systems, and processes and implements a machine learning model in response to applying the intake process. The processor also identifies areas of the potential bias data within the applications, systems, and processes by utilizing the machine learning model based on analyzing response data received during the intake process; generates output data that includes bias data and exceptions data identified for the applications, systems, and processes; and mitigates the bias data and exceptions data in response to the output data by implementing a mitigation process.

Abstract: Techniques are disclosed relating to methods that include training, by a new profile process executing on a computer system, a contrastive loss function to identify fraudulent images associated with a particular entity. The new profile process may receive new profile information that includes a new profile image and a new profile identifier and compare the new profile identifier to one or more existing profile identifiers. In response to determining that one or more existing profile identifiers satisfy a threshold identifier metric, a particular neural network, using the contrastive loss function, may compare the new profile image to one or more existing profile images corresponding to the one or more existing profile identifiers. The new profile process may determine, using the comparing, whether the new profile information is a possible fake profile of a legitimate profile.

Abstract: The invention relates to methods for treating COVID-19 by targeting the inflammasome/caspase1/pyroptosis axis as a key inflammatory pathway. In particular, the invention relates to treating a patient infected with SARS-CoV-2 with an effective amount of one or more compounds that directly or indirectly inhibit one or more pathways of the inflammasome/caspase1/pyroptosis axis.

Abstract: Methods and systems for restoring or migrating Linux operating system across different Linux environments are described. The method performed by server system includes discovering a plurality of software packages installed on a source Linux server in response to receiving a migration request of the source Linux server to a target Linux server. The method includes validating the plurality of software packages based on a validation dataset stored in a database and information associated with the discovered software packages. The information includes configuration and data paths associated with the plurality of software packages within the source Linux server. The method includes storing snapshots of the plurality of software packages into the database, in response to successful validation of the plurality of software packages. The method further includes migrating the plurality of software packages to the target Linux server based on the stored snapshots of the plurality of software packages.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for initiating actions based on sequences of events. In one aspect, a process includes receiving, from each of multiple devices, data specifying an event detected by the device. The events are compared to configured scenarios that each specify a sequence of trigger events and an action to be initiated in response to detecting the sequence of trigger events. A determination is made that the events match a first scenario of the scenarios. In response to determining that the events detected by the multiple devices match the first scenario, a first action specified by the first scenario is initiated. A determination is made that a combination of one or more of the events detected by the multiple devices and the first action matches a second scenario. In response, a second action specified by the second scenario is initiated.