Abstract: The present invention relates to a process for preparation of Batefenterol of Formula (I) or pharmaceutically acceptable salts thereof, and the process for the preparation of the chiral intermediate compounds including compound of Formula (VII) by chiral sulfide mediated epoxidation. The process involves preparation of the intermediate compounds of Formula (VII), followed by preparation of Batefenterol from the intermediate compounds of Formula (VII) via intermediate compounds of Formula (X) and Formula (XI); or via intermediate compounds of Formula (IX) and Formula (XI); or via intermediate compounds of Formula (VII) and Formula (XI); or via intermediate compounds of the Formula (XV) and Formula (XVI); or via intermediate compounds of the Formula (XIX) and Formula (XVI). The process is cost effective and gives higher yield and better purity.

Abstract: Embodiments provide for dynamically refining hardware assertion checkers of an integrated circuit (IC) design. An example method includes receiving a plurality of hardware assertion checkers and receiving one or more design constraints. The example method further includes, based at least in part on applying a cost prediction model to the plurality of hardware assertion checkers, generating a predicted overhead cost associated with the plurality of hardware assertion checkers. The example method further includes, based at least in part on the predicted overhead cost and the one or more design constraints, selecting an optimal hardware assertion checker set. The example method further includes synthesizing the optimal hardware assertion checker set.

Abstract: A user equipment (UE) is configured to join a standalone non-public network (SNPN). The receives SNPN information from one or more broadcast messages transmitted from a base station serving as an onboarding base station for the SNPN, determines whether the onboarding base station may be used for onboarding by the UE based on the SNPN information and UE SNPN information stored at the UE and onboards the UE to the SNPN when it is determined that the onboarding base station may be used for onboarding by the UE.

Abstract: A localization system may include an image input that receives images from a video source and an audio input that receives, from the video source, audio synchronized with the images. The localization system may also include an audio feature disentanglement network that correlates distinct audio elements from the audio input with corresponding visual features from the image input. Additionally, the localization system may include a geometry-based feature aggregation module that estimates a geometric transformation between two or more images from the video source and aggregates the visual features. Various other devices, systems, and methods are also disclosed.

Abstract: A system may include one or more processors. The one or more processors may be configured to obtain, from a device configured to perform communication in a wireless local area network (WLAN), a transmission (Tx) time for which the device is transmitting one or more signals during a period of time, a receive (Rx) time for which the device is receiving one or more signals during the period of time, and/or a listen time for which the device is in a listen state during the period of time. The one or more processors may be configured to estimate, based at least on the Tx time, the Rx time and the listen time, an average power consumption value of the device during the period of time. The one or more processors may be configured to control the device based at least on the average power consumption value.

Abstract: Various embodiments of the present disclosure provide graph-based techniques for generating granular predictive classifications for entities in a predictive domain. The graph-based techniques include generating a network graph for an entity or entity class based on a plurality of interaction data objects for the entity. The network graph includes a plurality of nodes and a plurality of edges. Each node corresponds to a particular interaction code of at least one of the plurality of interaction data objects. Each edge connects a node pair that is associated with a particular interaction data object. The nodes and edges are weighted to enable the clustering of the network graph for an entity class. An entity network graph may be compared to node clusters of a class network graph to generate a behavior based predictive classification.

Abstract: A mirror assembly can include a housing, a mirror, and a light source. In certain embodiments, the mirror is rotatable within a support portion of the mirror assembly. In some embodiments, the mirror assembly includes a light pipe configured to emit a substantially constant amount of light along a periphery of the mirror. In some embodiments, the mirror assembly includes a sensor assembly. The sensor assembly can be configured to adjust the amount of emitted light based on the position of a user in relation to the mirror.

Abstract: A method and system for predicting a delay of an aircraft is disclosed. First, a centralized machine learning model is built and trained using available public data. A version of the centralized model is then sent to one or more edge computing devices controlled by entities that own aircraft, and they input their proprietary data into the version of the centralized model they receive. The received version of the centralized model is trained using the proprietary data and a neural network gain for the centralized machine learning model is determined based on a weighted average of edge neural network gains from the edge computing devices. This neural network gain is then used to further train the centralized model to give a more accurate prediction of the flight delays without the centralized machine learning model actually ever receiving and being trained with the proprietary data of the airlines and other entities.

Abstract: Embodiments described herein relate to methods and apparatuses for generating one or more answers relating to a machine learning, ML, model. A method in a first node comprises obtaining one or more queries relating to a first output of the ML model, wherein the first output of the machine learning, ML, model is intended to fulfil one or more requirements in an environment; for each of the one or more queries performing a reinforcement learning process.

Abstract: Described herein is a method for performing an atomic layer deposition process to form a silicon doped oxide film on a surface of the substrate. The oxide film may be a hafnium-zirconium oxide film, or a zirconium oxide film. The atomic layer deposition process may include forming the oxide layers and a silicon layer using a hydrogen peroxide as at least one of the precursors used in formation of the oxide layers.

Abstract: A turbine engine is provided. The turbine engine includes: a rotor; a stator having a carrier; a seal support assembly coupled to the carrier; and a seal assembly disposed between the rotor and the stator and supported by the seal support assembly, the seal assembly defining a high pressure side and a low pressure side and including a plurality of seal segments, the plurality of seal segments having a first seal segment, the first seal segment having a seal face configured to form a fluid bearing with the rotor, a lip assembly, and a body, the lip assembly positioned on the high pressure side, the lip assembly including a seal lip having a high pressure surface defining a first angle with an axial direction and a low pressure surface defining a second angle with the axial direction, the second angle being greater than the first angle.

Abstract: Disclosed are systems, apparatuses, methods, and non-transitory media for optimizing beam selection. In some aspects, the disclosed technology can include determining whether an SSB measurement is available, performing one or more SSB measurements, in response to a determination that the SSB is not available, and performing one or more PRS measurements based on the one or more SSB measurements.

Abstract: This disclosure provides methods and devices for realizing sensitivity gains for high-efficiency (HE) extended range (ER) dual carrier modulation (DCM) modes. A wireless communication device can determine one or more preamble symbols of a packet based on a mode of transmission of the packet, the one or more preamble symbols of the packet being associated with a receiver sensitivity limitation. The wireless communication device can apply a power boost of a to the one or more preamble symbols by a power boost value, the power boost value being based on the mode of transmission of the packet. The wireless communication device can determine whether the one or more preamble symbols with the applied power boost satisfy a spectral mask. The wireless communication device can transmit the packet when the one or more preamble symbols with the applied power boost satisfy the spectral mask.

Abstract: A method of operating a network node includes preparing a command that activates or releases semi-persistent scheduling, SPS, of a group-common SPS transmission for a group of wireless devices, and transmitting the command to a wireless device in the group of wireless devices. A method of operating a wireless device includes receiving a command that activates or releases SPS of a group-common SPS transmission, and activating or releasing the group-common SPS transmission in response to the command. Related network nodes and wireless devices are disclosed.

Abstract: According to one or more embodiments of the disclosure, an example process herein may comprise: causing, responsive to a triggering event, establishment of a service tree that follows a same path as a multicast parent tree through a data communication network to one or more intended recipient devices; causing a duplication of a particular flow from the multicast parent tree to the service tree; causing a determination of a performance characteristic of the particular flow through the service tree; and causing an association of the performance characteristic with the multicast parent tree.

Abstract: The shipment platform offers an easy-to-use and streamlined method of documenting drug shipment tracking and management and ensuring a full trail of changes made to shipment requests. Here, you can input and view all shipment-related information, providing a centralized source of information and truth for team members tracking any drug shipments saving time on logistics-related communications. With the use of AI/ML systems, we can predict shipments that will be an issue in the future, potential delays, and costs associated with a shipment.

Abstract: In some aspects, the disclosure relates to compositions and methods comprising ActRII antagonists to treat, prevent, or reduce the progression rate and/or severity of post-capillary pulmonary hypertension (PcPH), particularly treating, preventing or reducing the progression rate and/or severity of one or more PcPH-associated complications.

Abstract: Wireless communications systems and methods related to transition of a user equipment (UE) to an inactive state are provided. In some aspects, a multi-subscriber identity module (MSIM) UE may request a network to transition one subscription or SIM to an inactive state when another subscription or SIM has a higher priority. In some aspects, a UE may request for the UE to be transitioned to an inactive state based on the signal quality of network signals at the location of the UE. In some aspects, a UE may request a network to transition the network to an inactive state when downlink data transmission from the network to the UE has stalled.

Abstract: The present disclosure is directed to pharmaceutical compositions comprising a PDE V inhibitor and one or more pharmaceutical excipients or additives wherein the pharmaceutical compositions are in the form of liquid pharmaceutical compositions. The pharmaceutical compositions of the present disclosure are useful for the treatment of diseases or conditions which are treatable by administration of PDE V inhibitor drug such as pulmonary arterial hypertension, erectile dysfunction, etc.

Abstract: A ground fault detection system for a power system having a DC link, a battery bank, a link capacitor unit connected to the DC link, and plural power converters connected to the DC link. The power converters convert first DC power from the DC link to at least one of AC power or second DC power for powering at least one electrical load. A control unit disconnects the battery bank from the DC link responsive to detection of a ground fault, to deactivate operation of the power converters, and to sequentially at least partially activate, with power from the link capacitor unit, each of the power converters individually until a sensed voltage signal of the DC link is indicative of the ground fault being associated with one of the power converters.