Abstract: Aspects of the disclosure relate to generating a multi-platform remediation infrastructure based on intelligently forecasting and configuring a remediation schedule. The computing platform may continuously analyze components within the enterprise organization infrastructure to identify at least one vulnerability within the infrastructure. The computing platform may group the vulnerabilities based on identified similarities and may identify, for each group, a time during which each vulnerability may be remediated. The computing platform may use the times to generate a remediation schedule and may analyze the remediation schedule to determine whether the schedule comprises anomalies. Based on determining the remediation schedule does not comprise anomalies, the computing platform may remediate the vulnerabilities indicated on the remediation schedule.

Abstract: A gas turbine engine includes a fan located at a forward portion of the gas turbine engine, and a compressor section and a turbine section arranged in serial flow order. The compressor section and the turbine section together define a core airflow path. A rotary member is rotatable with the fan and with a low pressure turbine of the turbine section. The low pressure turbine includes a rotating drum to which a first airfoil structure is connected and extends radially inward toward the rotary member. A torque frame connects the rotating drum to the rotary member and transfers torque from the first airfoil structure mounted to the rotating drum to the rotary member. The torque frame includes an inner disk mounted to the rotary member, an outer ring and a second airfoil structure formed separately from the outer ring and connected thereto by a releasable connecting structure. The second airfoil structure extends radially inward from the outer ring toward the inner disk.

Abstract: A column in a memory array includes one bit cell circuit in each row for storing information about the row. The bit cell circuits store data in a data node and a complement data node in a cross-coupled inverter circuit. Toggling the nodes in a cross-coupled inverter includes discharging a charged node in contention with a charge current provided in the cross-coupled inverter circuit. The column circuit includes a first voltage supply circuit to decouple the cross-coupled inverter circuits from a first voltage rail to cut off charging current in response to a column set signal in a column set operation. The cross-coupled inverters of the bit cell circuits in the column circuit are coupled to a first voltage supply line. The column set input controls the first voltage supply circuit to decouple the first voltage supply line from a first voltage rail.

Abstract: The present invention is directed towards a process of RT-PCR based diagnosis of SARS-CoV2 and other related respiratory viruses without storing and transporting the naso-pharyngeal and oro-pharyngeal swabs in Viral Testing Media directly after extracting the viral particles from the swabs in a suitable buffer, and using these extracts directly, without involving any steps of RNA isolation/extraction, for RT-PCR based diagnosis of SARS-CoV2. The present invention is also directed towards kits for time and cost-efficient diagnosis of SARS-CoV2 and other related respiratory viruses at efficacies matching or better than the efficacies of the gold-standard RT-PCR method starting from VTM transported swabs for diagnosing the same. The present invention also directs to variant process wherein the viral particles eluted in suitable buffers are further subjected to the conventional steps of RNA extraction before qRT-PCR.

Abstract: Methods and systems are provided for facilitating generation and utilization of causal-based models. In embodiments described herein, a set of events comprising touchpoints resulting in a conversion are obtained. A direct attribution indicating credit for an event contribution to the conversion is determined. An adjusted attribution for the event based on the direct attribution for the event augmented with an indirect attribution for the event is determined. The indirect attribution can be identified based on the event causing a subsequent event of the set of events to result in the conversion. Thereafter, the adjusted attribution for the event is provided to indicate an extent of credit assigned to the event for causing the corresponding conversion.

Abstract: Aspects of data management are described. A cluster-level state machine may be instantiated for an update procedure for updating software for a cluster of storage nodes, where the update procedure may be configured to serially update the plurality of storage nodes. The cluster-level state machine may be configured to monitor the update procedure at a cluster level. One or more node-level state machines may be instantiated for the update procedure, where the one or more node-level state machines may be configured to monitor the performance of the update procedure at a storage node level. During an update procedure, the state of the cluster-level state machine may reflect a state of the cluster of storage nodes and the state of a node-level state machine may reflect a state of a respective one or more storage nodes.

Abstract: The present disclosure advantageously provides a method and system for transferring data over a chip-to-chip interconnect (CCI). At a request node of a coherent interconnect (CHI) of a first chip, receiving at least one peripheral component interface express (PCIe) transaction from a PCIe master device, the PCIe transaction including a stream identifier; selecting a CCI port of the CHI of the first chip based on the stream identifier of the PCIe transaction; and sending the PCIe transaction to the selected CCI port.

Abstract: Embodiments of methods and apparatus for reducing warpage of a substrate are provided herein. In some embodiments, a method for reducing warpage of a substrate includes: applying an epoxy mold over a plurality of dies on the substrate in a dispenser tool; placing the substrate on a pedestal in a curing chamber, wherein the substrate has an expected post-cure deflection in a first direction; inducing a curvature on the substrate in a direction opposite the first direction; and curing the substrate by heating the substrate in the curing chamber.

Abstract: The technology disclosed herein can be used to evaluate system recovery using emulated production systems. In accordance with one example, the technology can involve accessing state data of a target computing device that is in a production environment, the state data can include a performance measurement of a target computing device; updating a configuration of a computing device to adjust a performance of the computing device to correspond to the performance measurement of the target computing device; introduce, by the processing device, a disturbance to the computing device; determining, by the processing device, a performance of the computing device at a time after the introducing the disturbance; and generating performance data indicating an effect the disturbance has on the computing device.

Abstract: A method including generating, by separate instances of a multi-threaded worker system, respective lists of zip codes that fulfillment nodes in a fulfillment network can deliver to via ground shipping within a first shipping time period, based at least in part on preliminary eligibility information and an evaluation of current factors. The method also can include transforming, with an aggregator system, the respective lists of zip codes to generate a mapping from each zip code in the respective lists of zip codes to a respective list of the fulfillment nodes that can deliver via ground shipping to each zip code within the first shipping time period. The method additionally can include receiving a request comprising an input zip code and an input shipping time period.

Abstract: There is described herein, multimers comprising a plurality of compounds covalently linked together, the compounds independently being of formula (I).

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and utilizing a touchpoint attribution attention neural network to identify and measure performance of touchpoints in digital content campaigns. For example, a deep learning attribution system trains a touchpoint attribution attention neural network using touchpoint sequences, which include user interactions with content via one or more digital media channels. In one or more embodiments, the deep learning attribution system utilizes the trained touchpoint attribution attention neural network to determine touchpoint attributions of touchpoints in a target touchpoint sequence. In addition, the deep learning attribution system can utilize the trained touchpoint attribution attention neural network to generate conversion predictions for target touchpoint sequences and to provide targeted digital content over specific digital media channels to client devices of individual users.

Abstract: A system for recognition of authentic product is disclosed. The system includes a product tracking device affixed with a product which includes a first unique key generated using a light encryption technique, a second unique key to encrypt product information using a data encryption technique. A tracking device reader including a location tracking device to obtain a geographical location associated with movement of the product in one or more stages of supply chain process, a random key generator to generate a random key for mapping with the second unique key, to read the device identification number corresponding to the product, to encrypt the random key generated, the geographical location obtained, and the device identification number read corresponding to the product. An end-user computing device to scan the first unique key, to read product data encrypted within the first unique key, transmits the product data, verifies an authenticity of the product.

Abstract: Devices, systems, and techniques for experiment-based training of machine learning models (MLMs) using early stopping. The techniques include starting training tracks (TTs) that train candidate MLMs using the same training data and respective sets of training settings, performing a first evaluation of a first candidate MLM prior to completion of a corresponding first TT, and responsive to the first evaluation, placing the first TT on an inactive status, inactive status indicating that further training of the first candidate MLM is to be ceased. The techniques further include continuing at least a second TT using the training data, and responsive to conclusion of the TTs, selecting, as one or more final MLMs, the first candidate MLM or a second candidate MLM.

Abstract: Devices, systems, and techniques for provisioning of cloud-based machine learning training, optimization, and deployment services. The techniques include providing, to a remote client device, a list of available machine learning models (MLMs), receiving from the remote client device an indication of selected MLM(s) from the provided list, identifying training settings for selected MLM(s), identifying a training data for the selected MLM(s), configuring, using the identified training settings, execution of one or more processes to train the selected MLM(s) using the identified training data, and providing to the remote client device a representation of completed training of at least one MLM.

Abstract: A method including simulating future stock data and future order data of an item supplied by a distribution center, optimizing, based on the simulated future stock data and the simulated future order data, a maximum quantity of the item allowed to be fulfilled by the distribution center over time, receiving notification of an order request by a customer for a requested quantity of the item supplied by a distribution center for a target delivery date, determining whether the requested quantity exceeds the maximum quantity that is optimized for the target delivery date, upon determining that the requested quantity exceeds the maximum quantity that is optimized for the target delivery date, calculating an extended delivery plan for fulfilling the order request using the simulated fulfillment, and adjusting an action for fulfilling the order request based on the extended delivery plan.

Abstract: A method including determining a zip code of a user using a website that displays items for sale. Determining the zip code of the user can include determining the zip code of the user through at least one of using tracking cookies for the user using the website or geo-sniffing a current session of the user using the website. The method also can include receiving a selection by the user to display information about an item of the items for sale. The method additionally can include determining a shipping speed to display to the user for the item based on (a) a geo-classification for the item, (b) a list of fulfillment nodes that can currently deliver to the zip code of the user within a first shipping speed, and (c) a node-level inventory for the item. The method further can include facilitating a display of the shipping speed to the user. The geo-classification for the item is a first classification at least when a sale margin for the item exceeds a first predetermined margin threshold.

Abstract: Abstract: Compounds of formula (I) and pharmaceutically acceptable salts and solvates thereof, are described. The compounds are ?4?7 antagonists and are useful in the prevention or treatment of inflammatory conditions and/or autoimmune diseases, especially inflammatory bowel disease.

Abstract: There is described herein, multimers comprising a plurality of compounds covalently linked together, the compounds independently being of formula (I).

Abstract: A real-time dynamic API traffic shaping and infrastructure resource protection in a multiclient network environment is provided. A traffic rules engine (TRE) applies traffic shaping only to customers that are utilizing “more than their fair share” of the currently available bandwidth without allowing them to negatively impact the user experience of other users. The present invention takes current API traffic into consideration, allowing one or a few high volume users to utilize most of all available bandwidth as long as other users do not need that bandwidth. This includes dynamically measuring and adjusting which users had traffic shaping applied to them based on the overall traffic during any given second. The solution of the present invention avoids any slowdown of customer API requests unless the maximum allowable TPS limit is near to being reached.