Abstract: Comprehensive and high-quality disease dictionaries are invaluable resources for tasks such as building ontologies, automated relation extraction, text summarization, question answering etc. Such curated resources are useful to clinicians, researchers, and various Biomedical Natural Language Processing tasks. However, these are manually curated and are labor and time intensive, and additionally suffer from lower recall and coverage is also less. Present disclosure provides systems and methods for augmenting rare disease dictionaries, wherein the system retrieves (new) rare diseases terms from medical literature that are related to the given dictionary terms (seed terms) and recommends new terms (or NPs) in a ranked order. This method is useful for rare diseases dictionary augmentation as a significant fraction of the top recommendations are new synonym candidates for dictionary augmentation.

Abstract: A system and method for non-invasively monitoring and troubleshooting a massive parallel processing environment that may include a digital ecosystem having a data lake. The system may include a data transporter, a data ingester, a data chef, and a separate message producer at each of the data transporter, data ingester, and data chef. Log data from the message producers may be transmitted to a memory associated with a processor for organization of the log data by topic, such as a Kafka topic, into instrumentation data that may indicate performance of different portions of the system. The system may further include a message consumer, such as Kafka message consumer, to enable the presentation of the instrumentation data to be interactively displayed to a user on one or more electronic dashboards for monitoring and troubleshooting of performance issues.

Abstract: A system and method for non-invasively monitoring and troubleshooting a massive parallel processing environment that may include a digital ecosystem having a data lake. The system may include a data transporter, a data ingester, a data chef, and a separate message producer at each of the data transporter, data ingester, and data chef. Log data from the message producers may be transmitted to a memory associated with a processor for organization of the log data by topic, such as a Kafka topic, into instrumentation data that may indicate performance of different portions of the system. The system may further include a message consumer, such as Kafka message consumer, to enable the presentation of the instrumentation data to be interactively displayed to a user on one or more electronic dashboards for monitoring and troubleshooting of performance issues.

Abstract: Comprehensive and high-quality disease dictionaries are invaluable resources for tasks such as building ontologies, automated relation extraction, text summarization, question answering etc. Such curated resources are useful to clinicians, researchers, and various Biomedical Natural Language Processing tasks. However, these are manually curated and are labor and time intensive, and additionally suffer from lower recall and coverage is also less. Present disclosure provides systems and methods for augmenting rare disease dictionaries, wherein the system retrieves (new) rare diseases terms from medical literature that are related to the given dictionary terms (seed terms) and recommends new terms (or NPs) in a ranked order. This method is useful for rare diseases dictionary augmentation as a significant fraction of the top recommendations are new synonym candidates for dictionary augmentation.

Abstract: A solid cleansing product including at least a first surfactant and a second surfactant present in a combined surfactant weight amount; at least a first buffering agent and a second buffering agent a present in a combined buffering agent weight amount; and magnesium sulfate; where the combined buffering agent weight amount is greater than the combined surfactant weight amount.

Abstract: The present disclosure provides methods and systems for detecting multiple different nucleotides in a sample. In particular, the disclosure provides for detection of multiple different nucleotides in a sample utilizing fewer detection moieties than the number of nucleotides being detected and/or fewer imaging events than the number of nucleotides being detected.

Abstract: A method for controlling access to wireless communications includes generating an overlay to a portion of an existing wireless network by controlling radio frequency (RF) equipment to establish a defined geographical volume as the overlay; receiving an indication of wireless devices within the volume, the indication including three-dimensional positions of the wireless devices within the boundary; establishing identities for the wireless devices, the identities selected from the group consisting of allowed, unknown, and restricted; generating a private network encompassing at least a portion of the volume; locking and maintaining locked unknown and restricted wireless devices to the processor; and directing allowed wireless devices to access the private network for wireless communications within the volume.

Abstract: The present disclosure provides methods and systems for detecting multiple different nucleotides in a sample. In particular, the disclosure provides for detection of multiple different nucleotides in a sample utilizing fewer detection moieties than the number of nucleotides being detected and/or fewer imaging events than the number of nucleotides being detected.

Abstract: A method for standardizing data input, data output and data manipulation at a data lake is provided. Methods include receiving a data transfer instruction comprising a seed file. Methods include parsing the seed file. Methods include validating the seed file. Methods include retrieving one or more data elements from one or more data sources as specified in the seed file. Methods include saving the retrieved data elements to a data lake. Methods include archiving the data elements at the data lake. Methods include receiving a schema from a network data mover client at an edge node at the data lake. Methods include creating a table to match the schema and validating the data elements using the schema. Methods include pushing the data elements into the table using the schema. Methods include saving the table that comprises the data elements in a shoreline edge node within the data lake.

Abstract: A machine learning system for forecasting demand implements an improved process using event streams for predicting the impact that events in the geographic area surrounding an establishment have on demand forecasts for the establishment. A range of distances from the establishment can be determined and divided up into different distances. Event streams can be generated from the events by grouping the events into combinations of event attributes, such as event category and the distance of the event from the establishment. The event streams can be provided as inputs along with demand data for computing demand forecasts that account for increased or decreased traffic patterns in the geographic area surrounding the event. The event streams can be filtered based on the magnitude of the impact the events have on the demand for the products and/or services of the establishment before, during and after the event takes place.

Abstract: A method for standardizing data input, data output and data manipulation at a data lake is provided. Methods include receiving a data transfer instruction comprising a seed file. Methods include parsing the seed file. Methods include validating the seed file. Methods include retrieving one or more data elements from one or more data sources as specified in the seed file. Methods include saving the retrieved data elements to a data lake. Methods include archiving the data elements at the data lake. Methods include receiving a schema from a network data mover client at an edge node at the data lake. Methods include creating a table to match the schema and validating the data elements using the schema. Methods include pushing the data elements into the table using the schema. Methods include saving the table that comprises the data elements in a shoreline edge node within the data lake.

Abstract: A method for standardizing data input, data output and data manipulation at a data lake is provided. Methods include receiving a data transfer instruction comprising a seed file. Methods include parsing the seed file. Methods include validating the seed file. Methods include retrieving one or more data elements from one or more data sources as specified in the seed file. Methods include saving the retrieved data elements to a data lake. Methods include archiving the data elements at the data lake. Methods include receiving a schema from a network data mover client at an edge node at the data lake. Methods include creating a table to match the schema and validating the data elements using the schema. Methods include pushing the data elements into the table using the schema. Methods include saving the table that comprises the data elements in a shoreline edge node within the data lake.

Abstract: This disclosure relates generally to method and system for graph convolution based gene prioritization on heterogeneous networks. The method includes obtaining a set of entities for human rare diseases from one or more sources containing rare diseases, genes, phenotypes for rare diseases and biological pathways and constructing an initial heterogeneous network using each of an entity from the set of entities. the initial heterogeneous network applying Graph Convolution-based Association Scoring (GCAS) to the initial heterogeneous network to derive inferred associations and creating a Heterogeneous Association Network for Rare Diseases (HANRD) by adding the inferred associations to the initial heterogeneous network and generating a prioritized set of genes for an input query being received in the HANRD.

Abstract: The present invention relates to non-membrane disruptive and p53 activating stapled peptides, as well as methods of treatment of cancer involving the use of these peptides. In one embodiment, the peptide comprises or consist of the amino acid sequence of TSFXaa1EY-WXaa3LLXaa2, where Xaa1 is (R)-2-(7?-octenyl)alanine or derivative thereof, or is (R)-2-(4?-pentenyl)alanine or derivative thereof; and Xaa2 and Xaa3 are independently any type of amino acid or modified amino acid. In another embodiment, the peptide comprising or consisting of the amino acid sequence of TSFXaa1EYW Xaa3LLXaa2ENXaa5, wherein Xaa1 and Xaa3 are any type of amino acid or modified amino acid; Xaa2 is S, or P, or (S)-2-(4?-pentenyl)alanine or a derivative of (S)-2-(4?-pentenyl)alanine; and wherein Xaa5 is F or Y.

Abstract: A method for controlling access to wireless communications includes generating an overlay to a portion of an existing wireless network by controlling radio frequency (RF) equipment to establish a defined geographical volume as the overlay; receiving an indication of wireless devices within the volume, the indication including three-dimensional positions of the wireless devices within the boundary; establishing identities for the wireless devices, the identities selected from the group consisting of allowed, unknown, and restricted; generating a private network encompassing at least a portion of the volume; locking and maintaining locked unknown and restricted wireless devices to the processor; and directing allowed wireless devices to access the private network for wireless communications within the volume.

Abstract: A wireless communications system operating in a coverage area of a wireless network includes a radiofrequency (RF) front end and a base station coupled to the RF front end, the base station receiving signals data from received transmissions from wireless devices; and a non-transitory computer readable storage medium having encoded thereon a program of machine instructions executable by a processor in signal communication with the base station. The processor executes the instructions to receive from the base station, the received signals data, process the received signals data to determine a characteristic of the wireless device, determine, based on the characteristic, whether the wireless device is allowed to continue transmissions in the wireless network, controlling the base station to lock the wireless device to the base station when continued transmissions are not allowed, and redirecting the wireless device to attempt access to the wireless network when continued transmissions are allowed.

Abstract: The present disclosure provides methods and systems for detecting multiple different nucleotides in a sample. In particular, the disclosure provides for detection of multiple different nucleotides in a sample utilizing fewer detection moieties than the number of nucleotides being detected and/or fewer imaging events than the number of nucleotides being detected.

Abstract: Diagnosis of rare human diseases using DNA sequencing is a fast growing area of research. Conventional methods carries a risk of incorrect phenotype interpretation. However, obtaining a correct genotype and phenotype matching is challenging. A system for matching phenotype descriptions and pathogenic variants provides a one to one mapping of the phenotype and genotypes of a plurality of subjects under test. Initially, a plurality of phenotypes and a plurality of genome sequences are segmented based on metadata. A phenotype driven gene prioritization and a variant prioritization is applied on the segmented data method. A similarity score is calculated between the phenotype driven gene prioritization output and the variant prioritization output. The similarity score is further utilized to obtain a one to one matching of the plurality of phenotypes and the plurality of genotype sequences of the plurality of subjects under test.

Abstract: The present disclosure provides methods and systems for detecting multiple different nucleotides in a sample. In particular, the disclosure provides for detection of multiple different nucleotides in a sample utilizing fewer detection moieties than the number of nucleotides being detected and/or fewer imaging events than the number of nucleotides being detected.

Abstract: Disclosed is a machine learning system for adapting demand forecasts to varying time slots or intervals within a forecast day, for example when an organization's hours of operation change. The system computes a demand curve for the demand data and thereafter modifies the demand curve using curve shaping operations to adapt the demand curve to new or different time slots. Demand forecasts for the new or different time slots can thereafter be computed using values interpolated from the modified demand curve. In one embodiment, curve shaping operations are performed in a manner in which the peak values for the time slots in the demand forecast are preserved. Peak detection and segmentation operations may also be used in combination with the curve shaping to further adapt the demand forecasts.