Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive one or more downlink grants while operating in accordance with a first receive state during a threshold number of transmission time intervals (TTIs). The UE may determine a weighting factor for each TTI within the threshold number of TTIs, where the determined weighting factors are based on a spectral efficiency (SPEF) of channel communications between the UE and a base station. The UE may sum a subset of the weighting factors to determine a transition determination value, and may transition from the first receive state to a second receive state based on evaluation of the transition determination value.

Abstract: A communication system couples a plurality of processing cores together, each having an associated register storing a virtual machine ID, which is inserted into requests sent by the respective processing core. A master circuit has associated a master interface circuit, wherein the master interface circuit has associated register for storing a second virtual machine ID, which is inserted into requests sent by the master circuit. A slave circuit has associated a slave interface circuit configured to selectively forward read or write requests addressed to an address sub-range. The slave interface circuit has associated a third register storing a third virtual machine ID associated with the address sub-range and is configured to receive a request addressed to the address sub-range, extract from the request a virtual machine ID, determine whether the extracted virtual machine ID corresponds to the third virtual machine ID, and then either forwards or rejects the request.

Abstract: Example apparatus described herein include a first circuit configured to slice an input image frame into input image slices, the first circuit including first outputs configured to output the input image slices. Described example apparatus also include digital light processing controllers (DLPCs) including first inputs coupled to the first outputs, the digital light processing controllers configured to process the input image slices to produce output image slices, the digital light processing controllers including second outputs configured to output the output image slices. Described example apparatus further include a second circuit including second inputs coupled to the second outputs, the second circuit configured to combine the output image slices to generate image frame data to provide to an input of a digital micromirror device (DMD).

Abstract: A system and method to determine a retention prediction for a caregiver is disclosed. The system includes a database of caregiver data and patient data. The set of caregiver data and patient data are normalized to create a modified set of caregiver and patient data. The modified set of caregiver and patient data defines a set of parameters or inputs from the set of caregiver and patient data and a corresponding employment status. An analysis is performed of parameters correlated with an employment status for each of the caregivers. Based on the correlation and the modified set of caregiver and patient data, a training set of caregiver data is generated that includes at least one parameter that correlates with employment status. The machine learning model is trained using the training set. The training allows a prediction of an employment status associated with the parameter. The accuracy of the trained machine learning model is evaluated.

Abstract: A composition, and method for a targeted drug delivery is disclosed in treating central nervous system injury, including blast hearing loss, traumatic brain injury (TBI) and the like, by administering a subject with nanoparticle-based minocycline formulations. The formulation contains nanoparticles encapsulating minocycline for neuroprotective effect in TBI. Albumin nanoparticle-based minocycline formulations provide enhanced delivery to brain, and reduced toxicity at minimal dosage for treating a subject suffering from central nervous system injury including blast induced traumatic brain injury (bTBI). Nanoparticle administered at minimal dose in rat blast TBI model crossed blood-brain barrier (BBB) and enhanced therapeutic concentration compared to free minocycline. Provided is an effective and safe minocycline delivery in TBI with minimal or no toxicity for neuroprotective therapy.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for distributed vehicle processing. For instance, the method may include: in response to determining a first trigger condition of a first set of trigger conditions is satisfied, performing a first process corresponding to the first trigger condition on-board a vehicle; in response to determining a second trigger condition of a second set of trigger conditions is satisfied, prompting a second process corresponding to the second trigger condition by transmitting an edge request to an edge node and receiving an edge response from the edge node; and in response to determining a third trigger condition of a third set of trigger conditions is satisfied, prompting a third process corresponding to the third trigger condition by transmitting a cloud request to a cloud node and receiving a cloud response from the cloud node.

Abstract: This disclosure relates generally to identification and analysis of regime shift. The identification and analysis of the regime shift includes regime shift identification (RSI), root cause analysis of the identified regime shift and a recommendation unit to rectify the identified regime shift. The disclosure proposes to monitor a system continuously to identify a regime shift at real-time as presence of regime shifts in any system decreases quality of process and products and makes the system less efficient. The regime shift is identified at real-time based on key performance indicators (KPIs), a set of relevant features and real time input data using machine learning techniques. Further the disclosure also proposes techniques for detecting at least one root cause for the identified regime shift and also recommends a rectification action to rectify the identified regime shift based on optimization techniques.

Abstract: A method for controlling a scanner comprises: sensing an outer surface of a body of a subject to collect body surface data, using machine learning to predict a surface of an internal organ of the subject based on the body surface data, and controlling the scanner based on the predicted surface of the internal organ.

Abstract: Novel methods and systems for adapting a voice cloning synthesizer for a new speaker using real speech data are disclosed. Utterances from one or more target speakers are parameterized and are used to initialize an embedding vector for use with a voice synthesizer, by means of clustering the utterance data and determining the centroid of the data, using a speaker identification neural network, and/or by finding the closest stored embedded vector to the utterance data.

Abstract: The disclosure includes antisense oligonucleotides, including gapmer antisense oligonucleotides, along with methods of making and use, e.g., against HBV.

Abstract: The present disclosure generally relates to a system for data seclusion in image & audio files comprises a data processing unit for receiving input signals and converting into digitized image and audio data; a compressor unit for reducing size of the digitized image and audio data using a j-bit encoding at a variable rate; an encryption unit for encrypting the compressed digitized image and audio data using an advanced encryption standard (AES); a control unit for stripping the encrypted compressed digitized image and audio data into a plurality of portions, wherein the control unit generates a cryptographic key for decrypting every encrypted image and audio data; and a blockchain database configured with a cloud server for receiving the portions of the encrypted compressed digitized image and audio data and proportionately storing the portions of the encrypted compressed digitized image and audio data onto a plurality of storage media.

Abstract: A traction battery venting system includes, among other things, an engine exhaust system that discharges engine exhaust gas to an area outside an electrified vehicle. The engine exhaust gas is emitted from an internal combustion engine of the electrified vehicle. The system further includes a sound deadening device of the engine exhaust system, a traction battery, and a battery vent system that communicates battery vent byproducts to the engine exhaust system at a position that is downstream from the sound deadening device. The battery vent byproducts are emitted from the traction battery of the electrified vehicle.

Abstract: A method for determining a viscosity of a medium based on damping of an oscillation mode of a measurement tube comprises exciting oscillations of an oscillation mode; detecting a sequence of provisional damping measurement values for the measurement tube oscillation mode; and calculating target measurement values. The influence of the cross-sensitivity of the damping for the flow rate of the medium is corrected by determining rectified damping measurement values that correspond to damping when the medium is at rest and determining viscosity on the basis of the rectified damping measurement values, or correcting the influence of the cross-sensitivity of the damping for the flow rate of the medium by determining provisional intermediate values of a damping-dependent variable, determining rectified intermediate values that correspond to the intermediate values when the medium is at rest, and determining the target measurement values on the basis of the rectified intermediate values.

Abstract: Oligonucleotides comprising modifications at the 2? and/or 3? positions(s) along with methods of making and use against Alzheimer disease and other tauopathies are disclosed.

Abstract: Methods and systems are provided for adjusting a position of an exhaust valve that regulates engine exhaust noise. In one example, the position of the exhaust valve is adjusted according to a distance between a first vehicle and a second vehicle. The exhaust valve may be adjusted to reduce an exhaust noise level when the distance between the first vehicle and the second vehicle is less than a threshold distance.

Abstract: Methods and systems are provided for controlling imbalance with an exhaust tuning valve. In one example, a method may include adjusting a first exhaust tuning valve in response to combustion torque imbalance in a first and second group of cylinders. Additionally or alternatively, the position of the second exhaust tuning valve may be adjusted in response to an imbalance generated by the same group of cylinders.

Abstract: The disclosure relates to system and method for providing assistance to a user using augmented reality. The method includes acquiring a video stream and a set of data associated with a task being performed by a user, in real-time, using a camera and/or a sensor device. The video stream includes sequential frames.

Abstract: The present disclosure relates generally to compounds useful in treatment of conditions associated with Checkpoint kinase (CHK), particularly CHK-1 enzymes. Specifically, the present invention discloses compound of formula (IA), which exhibits inhibitory activity against CHK-1 enzymes. Methods of treating conditions associated with excessive activity of CHK-1 enzymes with such compounds is disclosed. Uses thereof, pharmaceutical compositions, kits and method of synthesis also disclosed.

Abstract: In traditional systems, every time a digital twin of a component needs to be generated, behavioral as well as operational data specific to the component needs to be fetched, which has practical difficulties owing to complex nature of processes/equipment the component is associated with. The disclosure herein generally relates to building digital twins, and, more particularly, to a method and system for building digital twin by leveraging existing knowledge. The system determines extent of similarity between two components, and based on the determined extent of similarity, uses different approaches to retrain a ANN data-driven model to obtain a desired accuracy for features of the component for which the digital twin is being generated.