Abstract: A centralized system may collect and aggregate assessments from multiple websites. An aggregate score may be calculated for the resource that cumulatively considers assessments from a plurality of different websites from which assessments are received from users. Text descriptions associated with each of the assessments may be provided to a machine-learning system that uses a trained model to assign identifiers to the assessments as they are received. These identifiers may include common words or text that are descriptive of different facets of user experiences related to receiving and using the resource. After selecting one or more identifiers, assessments associated with that identifier may be included or excluded from the display. Additionally, the overall aggregate score for the resource may be recalculated by removing components of that score that are based on assessments with identifiers that have been selected for exclusion.

Abstract: Disclosed herein are short interfering nucleic acid (siNA) molecules comprising modified nucleotides and uses thereof. The siNA molecules may be double stranded and comprise modified nucleotides selected from 2?-O-methyl nucleotides and 2?-fluoro nucleotides. Further disclosed herein are siNA molecules comprising (a) a phosphorylation blocker, conjugated moiety, or 5?-stabilized end cap; and (b) a short interfering nucleic acid (siNA).

Abstract: Computer-implemented methods for speech synthesis are provided. A speech synthesizer may be trained to generate synthesized audio data that corresponds to words uttered by a source speaker according to speech characteristics of a target speaker. The speech synthesizer may be trained by time-stamped phoneme sequences, pitch contour data and speaker identification data. The speech synthesizer may include a voice modeling neural network and a conditioning neural network.

Abstract: A processing device identifies a first clock tree topology for a circuit design, the first clock tree topology having a threshold feedthrough count and a first timing solution. The processing device further identifies one or more additional clock tree topologies for the circuit design, each of the one or more additional clock tree topologies having a different respective feedthrough count that is less than the threshold feedthrough count, and each of the one or more additional clock tree topologies comprising a respective timing solution. In addition, the processing device receives a selection of at least one of the first clock tree topology or the one or more additional clock tree topologies, and generates the circuit design according to the selection.

Abstract: An Integrated Circuit (IC), comprising a first conductive trace on a first die, a second conductive trace on a second die, and a conductive pathway electrically coupling the first conductive trace with the second conductive trace. The second die is coupled to the first die with interconnects. The conductive pathway comprises a portion of the interconnects located proximate to a periphery of a region in the first die through which the first conductive trace is not routable. In some embodiments, the conductive pathway reroutes electrical connections away from the region. The region comprises a high congestion zone having high routing density in some embodiments. In other embodiments, the region comprises a “keep-out” zone.

Abstract: This disclosure relates generally to for time lag identification in an industry. The disclosure proposes to monitor an industry continuously at real time to identify one or more parameters from plurality of sources (processes/units/plants) and a time delay or delayed performance or functional impact the identified parameter has on a plurality of Key Performance Indicator (KPI). The proposed time lag identification is performed using one-time lag identification from the proposed plurality of time lag identification techniques that include an individual time lag identification technique, a group-wise time lag identification technique and group-wise/individual time lag identification technique. Further the time lag identification is performed based on domain knowledge as well as data driven techniques.

Abstract: The present invention is in the field of pharmaceutical compounds and preparations and method of their use in the treatment of disease. Described are short interfering nucleic acid (siNA) molecules comprising modified nucleotides, compositions containing the same, and uses thereof for treating or preventing coronavirus infections. In particular, the present invention is in the field of siNA molecules effective against a broad spectrum of coronaviruses, and especially the ?-coronaviruses, including SARS-CoV-2, the causative agent of COVID-19.

Abstract: Disclosed herein are short interfering nucleic acid (siNA) molecules comprising modified nucleotides and uses thereof. The siNA molecules may be double stranded and comprise modified nucleotides selected from 2?-O-methyl nucleotides and 2?-fluoro nucleotides. Further disclosed herein are siNA molecules comprising (a) a phosphorylation blocker, conjugated moiety, or 5?-stabilized end cap; and (b) a short interfering nucleic acid (siNA).

Abstract: The present invention generally discloses compounds having LXR (the liver X receptor) agonistic activity, to the use of such compounds in the treatment of various disorders such as proliferative disorders, Alzheimer's disease, inflammatory diseases, and diseases characterized by defects in cholesterol and lipid metabolism. Specifically, the present invention discloses compound of formula (IA) which exhibit LXR agonist activity, specifically to LXR?. The invention also discloses method of synthesis of said compounds, method of using said compounds, pharmaceutical compositions comprising said compounds and method of using thereof.

Abstract: A system, method and computer-readable storage devices for providing unsupervised normalization of noisy text using distributed representation of words. The system receives, from a social media forum, a word having a non-canonical spelling in a first language. The system determines a context of the word in the social media forum, identifies the word in a vector space model, and selects an “n-best” vector paths in the vector space model, where the n-best vector paths are neighbors to the vector space path based on the context and the non-canonical spelling. The system can then select, based on a similarity cost, a best path from the n-best vector paths and identify a word associated with the best path as the canonical version.

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.