Abstract: Devices, systems, kits, and methods for on-farm detection of foodborne pathogens and/or fecal indicator bacteria, wherein the devices and systems are particularly suitable for use in LAMP testing of crops in the field.

Abstract: A system includes processing circuitry; and a memory connected to the processing circuitry, wherein the memory is configured to store executable instructions that, when executed by the processing circuitry, facilitate performance of operations, including receive a root cause analysis (RCA) policy identifier; receive one or more network element groups, where event messages from each network element group is to be filtered for monitoring; receive one or more defined faults for each network element group, the one or more defined faults including a threshold value; receive an RCA policy definition for each network element group, based upon a conjunction of the one or more defined faults; and receive an action to be initiated by an action resource in response to the RCA policy definition for a network element group being satisfied.

Abstract: The disclosure is directed to systems, methods, and computer storage media, for, among other things, employing nested model structures to enforce compliance, within a computational system, to at least one policy. One method includes receiving a digital record that encodes content. A plurality of models (e.g., integrated models and/or model droplets) is employed to analyze the records. The plurality of models is configured and arranged within a nested structure of a hierarchy of models. Each of the plurality of models analyzes at least a portion of the record. Based on the nested structure, the hierarchy combines the analysis from each of the plurality of models to determine that the content violates a policy of a system. In response to determining that the content violates the policy, at least one mitigation (or intervention) action are performed. The at least one mitigation action may alter subsequent transmissions of the record.

Abstract: Disclosed herein is a method for facilitating determination of differences between a pair of regulatory documents. Accordingly, the method may include receiving a first regulatory document and a second regulatory document from a device, converting the first regulatory document and the second regulatory document from a source format to a preferred format, analyzing the first regulatory document and the second regulatory document of the preferred format, identifying first portions of the first regulatory document and second portions of the second regulatory document, classifying the first portions into first classification codes and the second portions into second classification codes, comparing the first classification codes with the second classification codes, determining a change associated with a first portion of the first portions, associating the change to the first portion, generating a combined annotated regulatory document, and transmitting the combined annotated regulatory document to the device.

Abstract: Wireless communication between two electronic devices may be used to determine a distance between the two devices, even in the presence of an otherwise-disruptive attacker. A wireless receiver system of one device may receive a true wireless ranging signal from a first transmitting device and a false wireless ranging signal from an attacker. The wireless receiver system may correlate the wireless signals with a known preamble sequence and perform channel estimation using the result, obtaining a channel impulse response for the wireless signals. The wireless receiver system may filter the channel impulse response for the plurality of wireless signals by removing at least part of the channel impulse response due to the false wireless ranging signal while not removing at least part of the channel impulse response due to the true wireless ranging signal. The receiver system may perform a wireless ranging operation using the filtered channel impulse response.

Abstract: Disclosed herein is a method for facilitating classification of portions of a regulatory document using multiple classification codes.

Abstract: The disclosure is directed to various ways of improving the functioning of computer systems, information networks, data stores, search engine systems and methods, and other advantages. Among other things, provided herein are methods, systems, components, processes, modules, blocks, circuits, sub-systems, articles, and other elements (collectively referred to in some cases as the “platform” or the “system”) that collectively enable, in one or more datastores (e.g., where each datastore may include one or more databases) and systems. A system and method for maintaining unified events such as maintaining an ontology data store and an event datastore. The event datastore may store event record instances of one or more different types of event records. The system and method may identify one or more types of event records that track a specific event type based on a specific event type of a new event instance.

Abstract: Self-aligned patterning with colored blocking and resulting structures are described. In an example, an integrated circuit structure includes an inter-layer dielectric (ILD) layer above a substrate, and a hardmask layer on the ILD layer. A plurality of conductive interconnect lines is in and spaced apart by the ILD layer and the hardmask layer. The plurality of conductive interconnect lines includes a first interconnect line having a first width. A second interconnect line is immediately adjacent the first interconnect line by a first distance, the second interconnect line having the first width. A third interconnect line is immediately adjacent the second interconnect line by the first distance, the third interconnect line having the first width. A fourth interconnect line is immediately adjacent the third interconnect line by a second distance greater than the first distance, the fourth interconnect line having a second width greater than the first width.

Abstract: A system and method for correcting image data is disclosed. The method includes receiving one or more documents from one or more electronic mediums. The method further includes determining a primary character and one or more alternate characters corresponding to the mis-captured character image, extracting one or more confident instances of the primary character and the one or more alternate characters from the one or more documents and generating one or more scores corresponding to the primary character and the one or more alternate characters. Further, the method includes predicting a correct character corresponding to the mis-captured character image by using a trained image prediction-based ML model and automatically replacing the mis-captured character image with the predicted correct character.

Abstract: Current UTI diagnostics face sensitivity challenges, especially with fastidious organisms and polymicrobial infections. Diagnosing UTIs in geriatric and pediatric patients, including those with communication difficulties like dementia, adds complexity due to atypical symptoms. Thus, systems, devices, and methods for UTI diagnosis across diverse patient groups are described herein. These methods utilize urinary biomarkers (NGAL, IL-8, IL-1?) to differentiate UTIs from asymptomatic bacteriuria. A consensus criterion, requiring?2 biomarkers, achieves high sensitivity (84.0%), specificity (91.2%), and accuracy (86.9%). This biomarker consensus enhances UTI diagnosis in compact diagnostic systems, especially when standard urine culture and multiplex PCR results diverge.

Abstract: Provided are a method, system, and an Service Management and Orchestration Framework (SMO) and O-Cloud to drain one or more O-Cloud Nodes based on recommendations from an rApp or manually by an O-Cloud Maintainer via the SMO. In particular, the method may include: receiving, by a SMO function, a first request or recommendation to drain at least one O-Cloud Node, the first request or recommendation being received from an rApp of a Non-Real-Time (Non-RT) RAN Intelligent Controller (RIC) or from an O-Cloud Maintainer; transmitting, by the SMO function to an Infrastructure Management Services (IMS) and/or Deployment Management Services (DMS) via an O2 interface, a second request to drain the at least one O-Cloud Node based on the received first request or recommendation; and receiving, from the IMS/DMS, a first notification as to whether the at least one O-Cloud Node has been drained.

Abstract: Support for a product may be provided using an interactive chat interface. The interface may provide recommendations for actions the user may take to address the issue. A support assistant tree may be used in providing information to the user via the user interface. The user interface may include options selectable by the user to traverse the support assistant tree. For example, a server may initially record the state of the user as being at the root node of the support assistant tree. Each child node of the root node may be associated with an answer to a question or an option. When the user selects the associated answer or option, the server provides information related to the corresponding node and updates the recorded state of the user to be the corresponding node. The process may be repeated until a leaf node is reached.

Abstract: Systems and techniques for a predictive sourcing platform are described herein. User story data may be received that includes user story attributes that describe constraints for completion of a task of the user story and a points value for the user story. Resource profile data may be received that includes resource attributes that describe the resource. The user story attributes and the resource attributes may be evaluated using a predictive machine learning model. A set of resources may be selected from the output of the evaluation using the predictive machine learning model. A selection of a resource from the set of resources may be received. It may be identified that the user story is complete. The points value may be assigned to a profile of the selected resource.

Abstract: Methods and systems for managing entitlements for data processing systems are disclosed. A management controller for the data processing system may utilize an out of band communication channel to obtain a list of the entitlements for the data processing system from a management server. The management controller may compare the features included in the list of the entitlements to features included in a list of existing enabled features for the data processing system to obtain a difference. The management controller may modify operation of hardware components of the data processing system to resolve the difference. By doing so, the management controller may monitor entitlements for the data processing system, the entitlements being based on user subscriptions for features of the data processing system.

Abstract: Methods and devices useful in performing precise indoor localization and tracking are provided. By way of example, a method includes locating and tracking, via a first wireless electronic device, a plurality of other wireless electronic devices within an indoor environment. Location ambiguity mitigation is performed using characteristics of signals received by a reference node used to generate a radio frequency map of electronic devices.

Abstract: A system and method for predicting an outcome of a court case, includes a method for identifying and linking motion and order pairs of documents of a docket. The motion and order pairs are using multiple techniques including database links, rules, and a transformer-based model. The outcome of a particular case is predicted based on the outcomes of other cases having a sequence of events similar to or the same as the particular case.

Abstract: The technology described herein determines whether a candidate text is in a requested class by using a generative model that may not be trained on the requested class. The present technology may use of a model trained primarily in an unsupervised mode, without requiring a large number of manual user-input examples of a label class. The may produce a semantically rich positive example of label text from a candidate text and label. Likewise, the technology may produce from the candidate text and the label a semantically rich negative example of label text. The labeling service makes use of a generative model to produce a generative result, which estimates the likelihood that the label properly applies to the candidate text. In another aspect, the technology is directed toward a method for obtaining a semantically rich example that is similar to a candidate text.

Abstract: A system and method are provided for tracking the quality of telemetry data in a wireless network, and to provide profiling of the telemetry to prevent erroneous radio resource management (RRM) computations. Statistical profiles are generated from the telemetry data that includes both computation data, which is used in RRM computations, and other network data. A data-quality score is generated based on the other data and statistical profiles of the computation data. The data-quality score represents whether the telemetry data is of sufficient quality to be used in RRM computations. The data-quality score can be based, at least in part, on detecting changes in the statistical profiles relative to a baseline statistical profile of the telemetry data and using the second network data to assess a likelihood that the detected changes arise from a degradation in a quality of the first network data.

Abstract: In general, techniques for efficient data retrieval from a backup system are described. An example computing system includes one or more storage devices and processing circuitry having access to the one or more storage devices and configured to: process an input to generate a filter, wherein the input indicates a context for one or more queries; apply the filter to backup data to obtain filtered data from the backup data; generate an index of embeddings from the filtered data; process, based on the index of embeddings, a query to generate a response for the query; and output the response.

Abstract: Systems and methods for generating digital content and selecting targets for presentation of digital content using artificial intelligence are disclosed. In one example, a nanosegment of customers can be selected as targets for digital content based on their propensity to accept offers for a given campaign. By incorporating a nanosegment-based classification of customers, there can be significantly reduced memory usage by the system, since the customer base will be reduced to a fewer number of groups, and each group more specifically targets traits for one cluster of customers. Attributes of the selected customers can be used to automatically design and generate digital content, such as personalized offers for distribution to the customers, including AI-generated taglines, content, and images. Feedback from each cycle of the campaign can be fed back into subsequent cycles to continuously improve performance and offer outcomes.