Abstract: The present disclosure relates to a computer-implemented method for identifying genetic variants associated with a complex trait or disease includes obtaining genetic data from a population, storing the genetic data obtained from a population, processing the genetic data to identify genetic variant, identifying genetic variants, including single nucleotide polymorphisms (SNPs), insertions, deletions, and structural variations. The method also includes using statistical analysis to identify genetic variants that are associated with the trait or disease of interest and visualizing the results through an interactive graphical interface.

Abstract: The present disclosure relates to a method (100) for diagnosing a medical condition using microbiome data. The method (100) includes collecting a sample from a subject and obtaining microbiome data from the collected sample. The method (100) also includes analyzing the microbiome data to identify patterns associated with the medical condition selected from the group consisting of infectious diseases, inflammatory disorders, metabolic disorders, autoimmune diseases, gastrointestinal disorders, and neurological disorders. The method (100) also includes identifying specific microbial taxa that are associated with the medical condition to determine patterns. The method (100) also includes comparing identified patterns with a reference set of patterns associated with the medical condition. The method (100) also includes using the comparison results indicating significant difference from the reference set of patterns to diagnose the medical condition.

Abstract: Systems and methods can utilize a conformer model to process a data set for various data processing tasks, including, but not limited to, speech recognition, sound separation, protein synthesis determination, video or other image set analysis, and natural language processing. The conformer model can use feed-forward blocks, a self-attention block, and a convolution block to process data to learn global interactions and relative-offset-based local correlations of the input data.

Abstract: The present disclosure relates to a method for modulating microbiome activity in an individual to treat diseases and disorders by administering an effective amount of a microbiome-modulating agent selected from the group consisting of antimicrobial agents, probiotic agents, prebiotic agents, or combinations thereof. The administering is performed orally, intranasally, intramuscularly, intravenously or topically or any other suitable route, Further, the microbiome-modulating agent is administered in an amount effective to modulate microbiome activity.

Abstract: The present disclosure relates to a method for modulating a microbiome of a human subject to promote health and prevent disease comprising steps of identifying one or more bacterial strains associated with health from the isolated strains and administering the identified bacterial strains to a subject in need thereof to alter and modulate the microbiome and promote growth of beneficial microbes, inhibit growth of harmful microbes, or modulate an immune system.

Abstract: The present disclosure relates to a method (100, 200) for gene editing of a cell or tissue. The method (100,200) includes introducing a gene editing agent into the cell or tissue using a gene delivery vector. The method (100,200) also includes modifying the gene delivery vector with a targeting agent to direct the gene editing agent to the desired cell or tissue. The method (100,200) also includes attuning the gene delivery agent to modify or replace the mutated gene. The method (100,200) also includes introducing other genetic modifications through the genetic agent. The method (100,200) also includes modifying the gene delivery vector with agents to enhance the stability or activity of the gene editing agent.

Abstract: Respiratory rate can be calculated from an acoustic input signal using time domain and frequency domain techniques. Confidence in the calculated respiratory rate can also be calculated using time domain and frequency domain techniques. Overall respiratory rate and confidence values can be obtained from the time and frequency domain calculations. The overall respiratory rate and confidence values can be output for presentation to a clinician.

Abstract: An electrochemical-sensor structure having a substrate and a nanostructured-sensing surface that receives a volume of a sample fluid. A sample region of the electrochemical-sensor structure for receiving the sample fluid volume is sized such that the volume of the fluid is sufficient to operatively cover a portion of the sample region of the electrochemical-sensor structure including the nanostructured-sensing surface. The electrochemical-sensor structure is connectable to a portable point-of-care (PoC) device. The PoC device may detect the energy properties of the sample fluid from the sample region of the electrochemical-sensor structure, to produce a signal comprising a fluid reading wherein the fluid reading is related to the energy properties of a biomarker in the sample fluid thereby indicating the presence, the absence, or the quantity of the biomarker in the sample fluid.

Abstract: Systems and methods are provided for suggesting a charging station for an electric vehicle. A destination of the electric vehicle is determined, and a schedule of a user of the electric vehicle is accessed. An event scheduled during a travel period to reach the destination is identified in the schedule of the user, and a suggested charging station is selected based at least on the destination and the identified scheduled event. The suggested charging station is generated for presentation at a display.

Abstract: Described herein are compounds of Formula I or a pharmaceutically acceptable salt thereof, wherein R1, R2, A, and B are as defined herein. The compounds of Formula I act as IL4I1 inhibitors and can be useful in preventing, treating or acting as a remedial agent for IL4I1-related diseases.

Abstract: A plethysmograph variability processor inputs a plethysmograph waveform having pulses corresponding to pulsatile blood flow within a tissue site. The processor derives plethysmograph values based upon selected plethysmograph features, determines variability values, and calculates a plethysmograph variability parameter. The variability values indicate the variability of the plethysmograph features. The plethysmograph variability parameter is representative of the variability values and provides a useful indication of various physiological conditions and the efficacy of treatment for those conditions.

Abstract: A method and a system for automated performance of capacity allocation, brokerage, placement, and provisioning of compute, network, and storage resources are provided. The method includes: receiving a first data set that relates to resource requirements of a user; retrieving, from a memory, a second data set that relates to resource availability; analyzing the first data set and the second data set in order to determine a proposed allocation of resources and a proposed timing that corresponds to the proposed allocation; and provisioning the resources to the user based on the proposed allocation and the proposed timing. A machine learning model that is trained by using historical resource allocation data may be applied to the first data set and the second data set in order to perform the analysis.

Abstract: A method, a processing unit, and a non-transitory computer-readable medium for controlling viewpoint of attendees in immersive environment are disclosed. For controlling viewpoint, initially, presenter input is received. Presenter input indicates objects selected amongst plurality of objects displayed in 360° view of a content in immersive environment. Further, the objects to be displayed are dynamically fixed within viewpoint across the 360° view of the attendees. The objects are dynamically fixed within viewpoint irrespective of inputs received from the attendees to change objects within viewpoint. New objects, amongst the plurality of objects are detected based on at least one of real-time preferences of the attendees and real-time context of the content provided by the presenter. Upon detecting the new objects, the objects are dynamically re-fixed within the viewpoint of the attendees.

Abstract: A method for performing readout of a pixel array associated with an image sensor may include for a first exposure row and one or more additional exposure rows of the pixel array, detecting, using processing circuitry, completion of exposure operations of the first exposure row and the one or more additional exposure rows, and reading, using the processing circuitry, pixel values from sets of columns associated with sets of analog to digital converters (ADCs) corresponding to the first exposure row and the one or more additional exposure rows.

Abstract: The present invention is directed to certain 2-aminoquinzaoline derivatives of Formula (I): (I) and pharmaceutically acceptable salts thereof, wherein A, R1, R2, and R3 are as defined herein, which are potent inhibitors of LRRK2 kinase and may be useful in the treatment or prevention of diseases in which the LRRK2 kinase is involved, such as Parkinson's Disease and other diseases and disorders described herein. The invention is also directed to pharmaceutical compositions comprising these compounds and the use of these compounds and compositions in the prevention or treatment of such diseases in which LRRK-2 kinase is involved.

Abstract: A computer-implemented method of training a streaming speech recognition model that includes receiving, as input to the streaming speech recognition model, a sequence of acoustic frames. The streaming speech recognition model is configured to learn an alignment probability between the sequence of acoustic frames and an output sequence of vocabulary tokens. The vocabulary tokens include a plurality of label tokens and a blank token. At each output step, the method includes determining a first probability of emitting one of the label tokens and determining a second probability of emitting the blank token. The method also includes generating the alignment probability at a sequence level based on the first probability and the second probability. The method also includes applying a tuning parameter to the alignment probability at the sequence level to maximize the first probability of emitting one of the label tokens.

Abstract: Methods, apparatus, systems, and articles of manufacture to predict outputs of electronic design automation (EDA) tools using machine learning are disclosed. An example apparatus includes memory; machine readable instructions; and programmable circuitry to at least one of instantiate or execute the machine readable instructions to: access circuit design data to be optimized by an EDA tool as part of a circuit design process for an integrated circuit; extract features from the circuit design data; apply a machine learning model to the features to estimate an output of the EDA tool, the estimated output determined without execution of the EDA tool; and provide results of the estimated output.

Abstract: The present disclosure relates to a system, a method and a computer-readable medium for recommendation. The method includes obtaining viewer interaction data of a plurality of content types; determining distance values between different content types according to the viewer interaction data; determining a first viewer and a second viewer to have viewed a same content type; determining a distance value between a first content type viewed by the first viewer and a second content type viewed by the second viewer according to the distance values; and determining whether or not to recommend a stream corresponding to the first content type to the second viewer according to the distance value.

Abstract: Systems and methods can utilize a conformer model to process a data set for various data processing tasks, including, but not limited to, speech recognition, sound separation, protein synthesis determination, video or other image set analysis, and natural language processing. The conformer model can use feed-forward blocks, a self-attention block, and a convolution block to process data to learn global interactions and relative-offset-based local correlations of the input data.

Abstract: Pole management is described for installation of network elements based on latitude and longitude values. Pole data having latitude and longitude values is obtained from a plurality of sources. The pole data from the plurality of sources is stored in a central pole database. Poles associated with at least a portion of the pole data is presented on a map in a graphical user interface based at least on the latitude and longitude values. A first pole is selected on the map for consideration for installing a network element for providing wireless services. A geographic boundary is presented on the map relative to the first pole, the geographic boundary encompassing candidate poles. A pole is selected from the candidate poles within the geographic boundary to install the network element to provide the wireless services.