Abstract: Small molecule radiohalogenated PSMA inhibitors and metal complexes thereof and their use in radioimaging and radiotherapy for treating PSMA-related diseases, including prostate cancer, are disclosed. The combination of small molecule radiohalogenated PSMA inhibitors with a competitive PSMA ligand for reducing off-target accumulation of the radiohalogenated PSMA inhibitor also is disclosed.

Abstract: The present disclosure relates to a Coriolis measuring transmitter of a Coriolis measuring device for measuring a mass flow or a density of a medium flowing through a pipe, which includes: at least one pair of measuring tubes arranged to oscillate relative to each other, wherein each measuring tube includes a centrally arranged bend, at least one driver and at least two vibration sensors; two guiding devices, each including a fluid chamber with a first opening for connection with the pipe and second openings for each measuring tube for connection with the measuring tubes, wherein the guiding devices are each formed from multiple parts, for example, formed from two parts, wherein a first part forms a pipe connecting part, and wherein at least one second part forms a measuring tube connecting part.

Abstract: A network device includes at least one port and a processor for use in a network for communicating a packet. The processor is configured to obtain a packet header for a packet and perform telemetry using postcard and/or passport approaches. The processor uses a repurposed field in the packet header to indicate telemetry is to be performed on the packet.

Abstract: An apparatus, method, and computer program product are provided for the improved and automatic prediction and modeling of one or more channels and relevant conditions through which resources may be directed to users in an environment where resource demand, utility, and perceived value vary over time. Some example implementations employ predictive, machine-learning modeling to facilitate the use of multiple disparate and unrelated data sets to extrapolate and otherwise predict the future needs for certain resources and identify the channels and conditions that may be employed to meet such future needs. An apparatus, method, system, and computer program product are provided for improved generating, adjusting, and/or facilitating approval of a resource offer set. Some example implementations employ one or more predictive models.

Abstract: A method comprises: receiving a query on a topic from a user associated with user attributes indicative of a user comprehension level on the topic; providing the query to an AI model; receiving from the AI model a response to the query that has a response comprehension level on the topic that is less than the user comprehension level; iteratively adding, to the query, topically-relevant user attributes of the user attributes to produce iterative queries that increase in technical detail on the topic; providing the iterative queries to the AI model; responsive to providing the iterative queries, receiving, from the AI model, iterative responses that increase in technical detail on the topic and have response comprehension levels that increase on the topic; and determining, among the iterative responses, a final response having a response comprehension level that most nearly matches the user comprehension level.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network node, one or more control channel symbols in a subframe. The UE may activate a sleep mode for the subframe irrespective of a control channel decoding result associated with the one or more control channel symbols, wherein the control channel decoding result is associated with a presence or an absence of a downlink shared channel grant. Numerous other aspects are described.

Abstract: The current document is directed to methods and systems that automatically bind an attribute value, within a resource descriptor in a cloud-infrastructure-specification-and-configuration file, that references a parent resource descriptor via a resource identifier to the resource identifier in the parent resource descriptor. One implementation of attribute-value binding is employed in an infrastructure-as-code (“IaC”) cloud-infrastructure-management service or system that automatically generates parameterized cloud templates that represent already deployed cloud-based infrastructure, including virtual networks, virtual machines, load balancers, and connection topologies.

Abstract: A system for assessing a data model includes a data receiver, a model receiver, and a model assessment device. The data receiver receives training data, historical data, and production data. The model receiver receives the data model associated with the historical data and trained using the training data. The historical data includes a first outcome of the data model provided based on an input feature in the production data. The model assessment device identifies a key feature in the production data relative to the input feature based on a target category in the historical data and a statistical distribution of the input feature in the production data. The model assessment device determines a second outcome of the data model based on the key feature. In response to the second outcome being different from the first outcome, the model assessment device determines a veracity score for assessing the data model.

Abstract: A method for operating devices by an electronic device in an Internet of Things (IoT) environment is provided. The method includes monitoring a movement of at least one object from a first location to a second location, identifying a relative position of the at least one object in the second location with respect to at least one entity, predicting an initiation of at least one activity by the at least one entity, based on the determined relative position of the at least one object with respect to the at least one entity, and modifying an operational state of at least one device associated with the predicted at least one activity.

Abstract: In some implementations, the techniques described herein relate to a method including: loading, by a processor, a predictive model, the predictive model including a first set of hidden layers; loading, by the processor, a semantic model, the semantic model including a second set of hidden layers; generating, by the processor, a tenant model using the first set of hidden layers and a third set of hidden layers, the third set of hidden layers receiving, as input, an output of the first set of hidden layers; loading, by the processor, a tenanted training data set; training, by the processor, the tenant model by biasing the first set of hidden layers with the second set of hidden layers and training weights of at least the third set of hidden layers using the tenanted training data set; and building, by the processor, an embedding index using the tenant model.

Abstract: Disclosed herein are novel methods of treating substance use disorders, mitigating the development of substance addiction, reducing the severity of substance withdrawal symptoms, or reducing or preventing substance relapse by providing to the patient a therapeutically effective amount of a Medication Assisted Treatment agent and a selective dopamine D3 receptor antagonist/partial agonist. In addition, the D3 antagonists/partial agonists described herein may be used to augment the effectiveness of current Medication Assisted Treatment regimens (e.g. methadone or buprenorphine) for the treatment of substance use disorders, including opioid use disorders.

Abstract: A flow divider comprises a lumen having perpendicular, symmetry planes intersecting in an axis of inertia connecting the ends.

Abstract: Disclosed herein novel dopamine D3 receptor selective antagonists/partial agonists compounds with high affinity and metabolic stability useful for the treatment of psychiatric and neurological disorders and as research and diagnostic tools. Also disclosed are methods of making the compounds.

Abstract: Techniques for extracting data from conversations across different types of communication channels are disclosed. A system applies a set of rules to extract data from conversations based, at least in part, on a type of communication channel used for conducting the conversation. The system applies a machine learning model to recognize semantic content in conversations. The system divides conversations into conversation segments and classifies the conversation segments based on the semantic content. The system selects conversation segments to be extracted based on the semantic content and the type of communication channel over which a conversation is conducted. The system maps conversation segments from different conversations conducted on different types of communication channels to a same set of transactions.

Abstract: Methods and systems for image registration using an intelligent artificial agent are disclosed. In an intelligent artificial agent based registration method, a current state observation of an artificial agent is determined based on the medical images to be registered and current transformation parameters. Action-values are calculated for a plurality of actions available to the artificial agent based on the current state observation using a machine learning based model, such as a trained deep neural network (DNN). The actions correspond to predetermined adjustments of the transformation parameters. An action having a highest action-value is selected from the plurality of actions and the transformation parameters are adjusted by the predetermined adjustment corresponding to the selected action. The determining, calculating, and selecting steps are repeated for a plurality of iterations, and the medical images are registered using final transformation parameters resulting from the plurality of iterations.

Abstract: One embodiment of the present invention sets forth a technique for processing a geometric query. The technique includes determining a tree structure and a set of configurable parameters specified in the geometric query, wherein the set of configurable parameters includes one or more query primitives and one or more search routines. The technique also includes performing one or more operations that traverse the tree structure and execute the one or more search routines to match the one or more query primitives to a first set of geometric objects included in the tree structure. The technique further includes generating a response to the geometric query, wherein the response includes the first set of geometric objects.

Abstract: Techniques for a sophisticated closed-loop control system designed for the automatic regulation of SOx emissions in a Circulating Fluidized Bed Combustion (CFBC) boiler by leveraging the power of Adaptive Artificial Intelligence/Machine Learning (AI/ML) based control system, this innovative system ensures both real-time model training and implementation for dynamic and efficient SOx emission control. The present disclosure describes processing a current SOx emission, a current lime consumption value and a predefined SOx setpoint value to determine an optimal setpoint of lime consumption required to keep the SOx emission within a desired limit in real-time. Said processing includes determination of lime-SOx peak-trough curve, a response time of the boiler and the change in SOx to the change in lime. The lime consumption setpoint so determined is directly transmitted to a distributed control system to control the injection of lime in the CFBC boiler for automatic regulation of SOx emission control.

Abstract: A system and method for an artificial intelligence (AI) confidentiality proxy that can protect a network from the transferal of sensitive AI data sets to outside AI systems. A data contract is established between the proxy and outside AI systems could function as well as user personas for additional protection. This system can also integrate with the network and provide security policy content and inspection rules.

Abstract: A clustering model is used to partition a set of historical opportunity profiles representing historical opportunities into a plurality of opportunity profile clusters. A target opportunity profile that includes a plurality of target-opportunity parameters is obtained, and an opportunity profile cluster is identified that meets a matching criterion with the target opportunity profile. The plurality of historical opportunity profiles of the identified opportunity profile cluster are partitioned based on an outcome indicator associated respectively with each of the plurality of historical opportunity profiles, providing a first subset of historical opportunity profiles and a second subset of historical opportunity profiles. An insight generation model is applied to the target opportunity profile along with the first subset and/or the second subset to generate one or more insights for the target opportunity profile.

Abstract: Systems, methods, and other embodiments associated with a bot communication system for communicating between channels and bots are described. In one embodiment, a system includes a bot manager configured to provide communication between an individual bot from a plurality of bots and a target channel of a plurality of channels. The bot manager is configured to process a bot response from the individual bot to the target channel by at least: identifying channel configuration metadata from a channel metadata repository that defines a channel dependent format for communicating data with the target channel; converting the bot response to the channel dependent format associated with the target channel including formatting data components from the bot response according to the channel configuration metadata of the target channel; and transmitting, via a network connection, the converted bot response to the target channel in the channel dependent format of the target channel.