Abstract: Systems and methods for predicting collision probabilities are provided. The methods involve operating at least one processor to: retrieve vehicle data originating from a telematics device installed in a vehicle, the vehicle data including location data and a plurality of safety exception events performed by the vehicle, the plurality of safety exception events including a plurality of exception event types; identify a plurality of road network edges traveled by the vehicle based on the location data; determine an aggregated area collision rate based on the plurality of road network edges; determine a plurality of exception rates based on the vehicle data, each exception rate representing a normalized rate of occurrence of one of the exception event types; and determine a collision probability using at least one machine learning model on the plurality of exception rates and the aggregated area collision rate, the collision probability representing a risk of collision.

Abstract: A vehicle includes a seat assembly. The seat assembly includes a seat cushion, a cushion insert frame rotatably coupled to the seat cushion, and a locking device for engaging the cushion insert frame to the seat cushion and for disengaging the cushion insert frame from the seat cushion to allow for adjusting an angle of the cushion insert frame with respect to the seat cushion.

Abstract: A seat back system for a vehicle includes a fixed seat support member fixed relative to the vehicle, a seat back frame pivotally mounted relative to the fixed seat support member, and a torsion spring element mounted to the seat back frame. The torsion spring element includes a first end fixed relative to the fixed seat support member and a second end fixed relative to the seat back frame.

Abstract: Disclosed embodiments include wearable devices and techniques for detecting walking workouts. By accurately and promptly detecting the start of walking workouts activities and automatically distinguishing between walking workout and causal walking activities, the disclosure enables wearable devices to accurately calculate user performance information when users forget to start and/or stop recording walking workouts.

Abstract: Embodiments are disclosed for crash detection on one or more mobile devices (e.g., smartwatch and/or smartphone. In some embodiments, a method comprises: detecting a crash event on a crash device; extracting multimodal features from sensor data generated by multiple sensing modalities of the crash device; computing a plurality of crash decisions based on a plurality of machine learning models applied to the multimodal features, wherein at least one multimodal feature is a rotation rate about a mean axis of rotation; and determining that a severe vehicle crash has occurred involving the crash device based on the plurality of crash decisions and a severity model.

Abstract: The present invention generally relates to a process for purification of (2R,5S,13aR)-8-methoxy-7,9-dioxo-2,3,4,5,7,9,13,13a-octahydro-2,5-methanopyrido[1?,2?:4,5] pyrazino [2,1-b] [1,3] oxazepine-10-carboxylic acid of Formula I and (2R,5S,13aR)-8-methoxy-7,9-dioxo-N-[(2,4,6-trifluorophenyl)methyl)]-2,3,4,5,7,9,13,13a-octahydro-2,5-methano pyrido-[1?,2?:4,5] pyrazino[2,1-b] [1,3]-oxazepine-10-carboxamide of Formula II, an intermediates for the preparation of bictegravir.

Abstract: Embodiments herein describe techniques for converting multiple symbols into respective wire states in parallel. In one embodiment, the techniques can be used to convert symbols into wire states in parallel even when those wire states are dependent on previously determined wire states. That is, the dependency on previous wire states can be removed so that wire states can be determined in parallel.

Abstract: The present invention relates to novel crystalline form of nilotinib hydrochloride, process for its preparation and pharmaceutical composition comprising the same.

Abstract: The present invention is a process for the preparation of certain 5?-phosphoramidate nucleotide diastereoisomers. The phosphoramidates include those useful in the treatment of cancer such as NUC-3373 (5-fluoro-2?-deoxyuridine-5?-O-[1-naphthyl(benzyloxy-L-alaninyl)]phosphate].

Abstract: In response to a process being triggered, at least in part by receipt of information regarding communication directed to a first application by a second application, a threat level is computed based at least in part on the information. As a result of the threat level being of a first severity, the second application is migrated to a destination zone that allows for improved communications with the first application. As a result of the threat level being of a second severity, migration of the second application to the destination zone is delayed. As a result of the threat level being of a third severity, a mitigation action is performed.

Abstract: The present disclosure relates to methods and systems of determining swimming metrics of a user during a swimming session. The method can include receiving, by a processor circuit of a user device, motion information from one or more motion sensors of the user device; determining, by the processor circuit using the motion information, a first set of rotational data of the user device, wherein the first set of rotational data is expressed in a first frame of reference; converting, by the processor circuit, the first set of rotational data into a second set of rotational data, wherein the second set of rotational data is expressed in a second frame of reference; determining, by the processor circuit, one or more swimming metrics of the user; and outputting the one or more swimming metrics.

Abstract: Systems and methods for generating vehicle safety scores and vehicle collision probabilities are provided. The methods involve operating at least one processor to: retrieve vehicle data originating from a telematics device installed in a vehicle, the vehicle data including a plurality of safety exception events performed by the vehicle; determine a plurality of exception rates based on the vehicle data, each exception rate representing a normalized rate of occurrence of one of the exception event types; determine plurality of collision sub-probabilities using a plurality of collision probability models and the plurality of exception rates, each collision probability model associated with one of the exception event types and operable to predict one of the collision sub-probabilities based on one of the exception rates of the associated exception event type; and determine a collision probability for the vehicle based on the plurality of collision sub-probabilities.

Abstract: The present disclosure relates to utilizing a hierarchical network communication system to efficiently manage and monitor a controlled hierarchical network. In particular, the hierarchical network communication system utilizes gateway services embedded among various architecture levels of a controlled hierarchical network to facilitate secure communications between levels of the hierarchical network as well as with an authorized external computing device or computing system. In various instances, the gateway service includes various components and elements that facilitate inter-network level communication as well as remote management, including monitoring, configuring, and upgrading components and resources at each level of the controlled hierarchical network.

Abstract: Systems and devices for detecting and characterizing stratified fluid and/or aerosol particles and droplets, and methods of use thereof to, for example, diagnose and prognose respiratory diseases and disorders are provided. The systems typically include optoelectronic sensors for detecting foreign particles like bacteria and pollutants in the air (i.e., the aerosol) based on light scattering. Information collected in this way can be used to, for example, detect or identify respiratory maladies and determine the effectiveness of methods of treatment thereof.

Abstract: Various embodiments include an automobile network device that includes a descriptor sorting engine (DSE). The DSE may include a direct memory access (DMA) controller, a memory organized by channel clusters that each include a plurality of first-in first-out (FIFO) memories, a timer, and a time stamp (TS) sorting logic component. The DMA controller may be configured to pull timestamp-pointer pairs from packet descriptors stored in an unsorted descriptor ring memory, store the timestamp-pointer pairs in the FIFO memories, trigger the TS sorting logic component to reorder the timestamp-pointer pairs in the FIFO memories so that they are sorted in ascending order, use the sorted timestamp-pointer pairs in the FIFO memories to read the packet descriptors stored in an unsorted descriptor ring memory, and store the packet descriptors in a sorted descriptor ring memory.

Abstract: Apparatus, methods, and computer-readable media for facilitating autonomous synchronization are disclosed herein. For example, a UE may be configured to perform an initial synchronization directly to PSCCH and PSSCH when other synchronization sources, such as GNSS, a base station, and/or SLSS, are unavailable. An example method for wireless communication at a user equipment includes receiving a PSCCH. The example method also includes performing an initial synchronization based on the PSCCH. In some examples, the method may also include receiving a PSSCH, and determining a logical subframe number modulo 10 based on the PSSCH. The logical subframe number modulo 10 may correspond to a sequence seed.

Abstract: In an embodiment, a method comprises: establishing, by a wireless wearable computer worn by a user, a wireless communication connection with a fitness machine; obtaining machine data from the fitness machine while the user is engaged in a workout session on the fitness machine; obtaining, from a heart rate sensor of the wireless device, heart rate data of the user; determining a calibrated maximal oxygen consumption of the user based on the heart rate data and the machine data; determining a heart rate caloric expenditure based on the heart rate data and the calibrated maximal oxygen consumption of the user; and providing information corresponding to the heart rate caloric expenditure for presentation.

Abstract: Techniques are disclosed for facilitating disabling an alarm in response to particular types of activity-indicative data. More specifically, activity-indicative data (e.g., measurements obtained by an electronic device) can be detected prior to a preset alarm time. Upon determining, based on the activity-indicative data, that a wakefulness condition is satisfied, the alarm can be disabled such that the alarm stimuli is not to be presented at the preset alarm time.

Abstract: To update subscription related information using explicit notifications different solutions resulting to a notification updating information relating to a plurality of subscriptions per a network function are disclosed.

Abstract: Systems, methods, apparatuses, and computer program products for enhancing shared data in a communications system are provided. One method may include receiving or retrieving, at a service consumer, shared data from a service producer. The shared data may include at least one treatment attribute configured to indicate a treatment of at least one attribute in the shared data with respect to at least one attribute in individual subscriber data. The method may also include applying a value provided in the at least one shared data attribute or a value provided in the at least one individual subscriber data attribute based on the at least one treatment attribute.