Abstract: Substituted furanopyrimidine chemical entities of Formula (I): wherein Ra has any of the values described herein, and compositions comprising such chemical entities; methods of making them; and their use in a wide range of methods, including metabolic and reaction kinetic studies; detection and imaging techniques; radioactive therapies; modulating and treating disorders mediated by PDE1 activity or dopaminergic signaling; treating neurological disorders, CNS disorders, dementia, neurodegenerative diseases, and trauma-dependent losses of function; treating stroke, including cognitive and motor deficits during stroke rehabilitation; facilitating neuroprotection and neurorecovery; enhancing the efficiency of cognitive and motor training, including animal skill training protocols; and treating peripheral disorders, including cardiovascular, renal, hematological, gastroenterological, liver, cancer, fertility, and metabolic disorders.

Abstract: The present application is directed towards a new system for performing FHE and includes a method, system, program and storage medium configured for generating keys for fully homomorphic encryption, wherein generating the keys comprises: obtaining a first set of numbers, wherein the first set of numbers is a set of pairwise coprime numbers P1, . . . , Pk+1; obtaining a second set of prime numbers r1, r2, . . . , rk+1; obtaining a third set of numbers, wherein the third set of numbers is a set of random or pseudo random numbers s1, . . . , sn; calculating a secret key, sk, based on the first set of numbers, the second set of numbers, and third set of numbers; and calculating a public parameter, q, based on the first set of numbers and the second set of numbers.

Abstract: Methods, systems and architectures for video and/or audio processing and distribution are described. More particularly, a just in time transcoder/transcoding (JITT) is employed. If a matching optimal asset segment with calculated optimal asset attributes requested by a client device is not stored in a server, the server is configured to invoke the just in time transcoder (JITT) to produce the matching optimal asset segment by transcoding from one or more assets stored in an asset storage device to fulfill the request of client device.

Abstract: Systems and techniques are provided for generating depth information. For example, a process can include obtaining a first feature volume including visual features corresponding to each respective frame included in a first set of frames. A first query generator network can generate reconstruction features associated with a reconstructed feature volume corresponding to the first feature volume. Based on the first feature volume, a second query generator network can generate motion features associated with predicted future motion corresponding to the first feature volume. An initial depth prediction can be generated for each respective frame based on cross-attention between features of a depth prediction decoder, the reconstruction features, and the motion features. A refined depth prediction can be generated for each respective based on cross-attention between the initial depth prediction, the reconstruction features, and the motion features.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a sidelink communication on a sidelink between the UE and another UE. The UE may transmit, on the sidelink, one or more feedback communications associated with the sidelink communication in a reporting period having a configurable periodicity and/or being configured to occupy an entire bandwidth of a resource pool configured for the sidelink. Numerous other aspects are provided.

Abstract: An apparatus to couple an inset panel to a back surface of a front panel of an envelope blank such that the inset panel substantially seals a window through the front panel of the envelope blank and is visible through the window of the front panel of the envelope blank, wherein a front surface of the front panel of the envelope blank has a first optical brightness, and wherein a first surface of the inset panel that is visible through the window has a second optical brightness that is more than or equal to about 1% greater than the first optical brightness.

Abstract: Some embodiments are directed to a computer implemented system and method to determine relationships between data elements using a knowledge graph are described. The method comprises establishing a knowledge graph having graph elements, associating weights with data elements and determining at least some of these weights to be modifiable weights. Training data is used to determine the relationships between data elements in the knowledge graph by calculating the strength of the relationship. The calculated relationship strength values are compared to previously established relationship strength values, and one or more modifiable weights are modified to reduce the error between the calculated and established relationship strength values. These steps are repeated until a matching criterion is reached.

Abstract: The present disclosure relates to machine learning (ML) models, and more particularly to novel techniques for computing performance metrics for Multioutput-Multilabel ML models. Novel techniques are described for computing the performance metrics in a parallel and distributed without having to store the entire dataset for which metrics are to be computed in the memory of a data processing system. Novel data structures are provided for performing the computations.

Abstract: A method of cross-domain policy orchestration may include executing, with a cross-domain automation (CDA) controller, a macro-segmentation of a plurality of domains based at least in part on metadata defining a mapping to a corresponding plurality of domain controllers, and executing, with the CDA controller, a micro-segmentation of policies within a group based at least in part on a merged policy matrix obtained from policies of the domain controllers.

Abstract: Aspects described herein relate to using machine learning (ML) models for performing channel state information (CSI) encoding or decoding, CSI-reference signal (RS) optimization, channel estimation, etc. The ML models can be trained by a user equipment (UE), separately by the UE and a network node (e.g., base station), or jointly by the UE and network node.

Abstract: Integrated circuit devices, methods, and circuitry for a timestamp engine to dynamically provision ports in accordance with PTP synchronization are provided. An integrated circuit device may include a number of ports configurable to communicate using timestamps corresponding to a number of Precision Time Protocol (PTP) clock domains. The integrated circuit may further include a timestamp engine configurable to receive timestamp requests and route a time of day (ToD) from a ToD circuit of a plurality of ToD circuits to different ports of the plurality of ports, where each ToD circuit is based on a PTP clock domain of the plurality of PTP clock domains.

Abstract: A fluid monitoring system for monitoring a concentration of nanoparticle additives in wellbore treatment fluid using X-ray fluorescence (XRF) can include a preparation unit and an analysis unit. The preparation unit can generate a representative sample of the wellbore treatment fluid by performing a separation process with respect to a sample of the treatment fluid. The analysis unit can chemically analyze the subset of the treatment fluid sample using XRF to generate radiation intensity data of the representative sample. Based on the radiation intensity data, the fluid monitoring system can determine that the concentration of the nanoparticle additives is outside of a predefined range. In response to determining that the concentration of the nanoparticle additives in the representative sample is outside of the predefined range, the fluid monitoring system can perform a mitigation operation to modify the concentration of the plurality of nanoparticle additives to be within the predefined range.

Abstract: The embodiments of the present invention disclose a conjugate compound of formula X-J-MAA, wherein X is a diagnostic or therapeutic radioisotope; J is an optional chelating agent; and MAA is macroaggregated albumin particles. The invention also discloses sterile and stable ready to use or reconstituted radiopharmaceutical composition of X-J-MAA and manufacturing process thereof. The prepared radiopharmaceutical compositions exhibit desirable technical attributes like stability, radiochemical purity, less impurities, pH, better bio-distribution and desirable average particle size for further administration to patients for therapeutic and diagnostic use.

Abstract: A computer-implemented method for controlling an autonomous machine includes processing sensor data streamed via a plurality of calibrated sensors by a plurality of perception modules to extract perception information from the sensor data in real time. The extracted real time perception information from the plurality of perception modules is fused by a context awareness module to create a blackboard image, which is a representation of an operating environment of the autonomous machine derived from fusion of the extracted perception information using a controlled semantic, defining a context of the autonomous machine. A stream of blackboard images, representing a time evolving context of the autonomous machine, is processed by an action evaluation module, using a control policy, to output a control action to be executed by the autonomous machine. The control policy includes a learned mapping of context to control action represented by blackboard images created using the controlled semantic.

Abstract: Disclosed are various embodiments for providing split-tunneled network connectivity on a per-application basis. A DNS query is received from a locally hosted DNS resolver. A first recursive DNS query is sent to an external DNS server and a second recursive DNS query is sent to an internal DNS server. A first recursive DNS response is then received from the external DNS server and a second recursive DNS response is received from the external DNS server. A response is then provided to the DNS query.

Abstract: The present invention relates to a simple, convenient, user-friendly, ready to administer pre-filled syringe injection device, for delivery of medication composition used for the prophylaxis and treatment of vitamin K deficiency bleeding in the neonates and other age groups.

Abstract: A method of immunizing against COVID-19 by administering a recombinant SARS-CoV2 protein-based vaccine, developed by either embedding the epitopes/domains, or chemically attaching, to an already established vaccine candidate, e.g., a detoxified recombinant tetanus neurotoxin (DrTeNT). The developed vaccine will have three novel contributions compared to the present vaccine technology: a) providing a novel and very effective vaccine platform; b) priming with DrTeNT will prepare the host immune system for better response; and c) oral delivery of the vaccine candidate with a group of neurotoxin binding proteins (NAPs) from Clostridium sp. A Detoxified recombinant tetanus neurotoxin (DrTeNT) is prepared by mutation of the active site amino acid residues is an effective vaccine candidate, and is used for embedding epitopes of SARS-CoV-2 virus protein for vaccination against Covid-19. DrTeNT is a risk-free vaccine, free of formalin or any other chemical adjuvants.

Abstract: Embodiments of the disclosure provide for predicting collisions between vehicles and environment objects based at least in part on user input from a computing entity. Some embodiments receive, at a cloud computing environment, a user input from a computing entity, where the user input comprises an approximate location of an environment object. Some embodiments generate, using a machine learning model, a collision prediction involving the environment object and a vehicle based at least in part on the approximate location of the environment object and a trusted location of the vehicle. Some embodiments generate traffic data based at least in part on the collision prediction. Some embodiments provide a notification indicative of the traffic data to the vehicle and the computing entity.

Abstract: Methods, systems, and devices for wireless communications are described. A first wireless device may be configured to communicate signaling with a second wireless device, an additional wireless device, or both, and perform, based on the signaling, one or more inferences using a machine learning model. The first wireless device may transmit, to the second wireless device, an indication that the machine learning model was applicable for performing the one or more inferences, and receive, from the second wireless device, control signaling indicating that the machine learning model is applicable for communications that are associated with a first set of conditions associated with the communication of the signaling, where the control signaling indicates a model identifier (ID) associated with the machine learning model, that the first set of conditions is associated with the machine learning model, or both.

Abstract: A computer-implemented method includes receiving, by one or more processors, Process Instruction (PI) information containing instructions for adjudicating a healthcare service request based on a primary fact source; dividing, by the one or more processors and using an Artificial Intelligence (AI) model, the instructions into one or more instruction sets; generating, by the one or more processors and the AI model, an input-output mapping for first ones of the one or more instruction sets having a complexity that does not satisfy a complexity threshold; generating, by the one or more processors and the AI model, code for second ones of the one or more instructions sets having the complexity that satisfies the complexity threshold; generating, by the one or more processors and the AI model, a validation input set for the input-output mapping and for the code; and applying, by the one or more processors and the AI model, the validation input set to the input-output mapping and the code to generate a validation ou