Abstract: In one embodiment, the present application discloses, in part, biologically active compositions comprising a Crila® composition, or an admixture of Crinum latifolium L. dry extract (Crila®) and epigallocatechin gallate (EGCG), wherein the ratio of the Crinum latifolium L. dry extract to EGCG, and their use in the treatment of intramural or subserosal fibroids and various related diseases.

Abstract: A user interface for a physician or other health care provider to follow up with high-risk patients recently discharged from the emergency department (ED) and update the patient's health care record using the physician or provider's mobile or end user device is described. The user interface is generated after extracting patient detail batch information at a pre-defined time interval for one or more past patients from an electronic medical records (EMR) database or other patient information database into a medical activity tracking batch database, and constructing a real-time database from streams of real-time Health Level 7 (HL7) clinical administrative data, wherein at least one stream of real-time HL7 clinical administrative data is associated with at least one high-risk patient in a recent medical encounter and at least one stream of real-time HL7 data comprises daily schedule information associating at least one clinician with the at least one high-risk patient.

Abstract: The present invention provides systems and methods for use with electronic records, such as Electronic Medical Records (EMRs). A parser engine may receive a stream of Health Level 7 (HL7) messages containing EMR data and, using parsing logic, parse the HL7 messages to identify and extract specified EMR data therefrom. The extracted EMR data may be combined with analytic results data and presented via a trackerboard with refresh and writeback capability, to a medical professional or medical staff member, in real time or near real time relative to entry of the EMR data into an EMR system.

Abstract: A method creates an embedding for an unlabeled vertex in a hypergraph. The method includes receiving a hypergraph of hyperedges, where each of the hyperedges includes one or more vertices, and at least one of the hyperedges includes an unlabeled vertex; generating a hypergraph of vertices from the hypergraph of hyperedges, where each of the vertices in the hypergraph of vertices includes one or more of the one or more hyperedges from the hypergraph of hyperedges; performing a first type of random walk through the hypergraph of hyperedges; performing a second type of random walk through the hypergraph of vertices; generating a set of vertex embeddings from the first type of random walk and a set of hyperedge embeddings from the second type of random walk; and using results of the first and second random walks to train a neural network to create an embedding for the unlabeled vertex.

Abstract: Disclosed herein are herbal formulations for relief from symptoms of skin disease. The formulations can also be combined with an active or inactive pharmaceutical ingredient, and/or a pharmaceutically acceptable excipient.

Abstract: A method trains a neural network to recognize whether a resource is authorized to be returned to a requester. One or more processors train a neural network to traverse a policy enforcement hypergraph in order to identify a security policy to be used for a resource request and to authorize a use of a requested resource by a requester. The policy enforcement hypergraph is derived from a policy enforcement graph that expresses a set of security profiles for resources and requesters. The processor(s) receive a resource request for a requested resource from a requester, where the resource request includes a description of the requester. A system/user inputs a description of the received resource request and a description of the policy enforcement hypergraph into the trained neural network in order to selectively return the requested resource to the requester.

Abstract: A method trains a neural network to recognize whether a resource is authorized to be returned to a requester. One or more processors train a neural network to traverse a policy enforcement hypergraph in order to identify a security policy to be used for a resource request and to authorize a use of a requested resource by a requester. The policy enforcement hypergraph is derived from a policy enforcement graph that expresses a set of security profiles for resources and requesters. The processor(s) receive a resource request for a requested resource from a requester, where the resource request includes a description of the requester. A system/user inputs a description of the received resource request and a description of the policy enforcement hypergraph into the trained neural network in order to selectively return the requested resource to the requester.

Abstract: A method creates an embedding for an unlabeled vertex in a hypergraph. The method includes receiving a hypergraph of hyperedges, where each of the hyperedges includes one or more vertices, and at least one of the hyperedges includes an unlabeled vertex; generating a hypergraph of vertices from the hypergraph of hyperedges, where each of the vertices in the hypergraph of vertices includes one or more of the one or more hyperedges from the hypergraph of hyperedges; performing a first type of random walk through the hypergraph of hyperedges; performing a second type of random walk through the hypergraph of vertices; generating a set of vertex embeddings from the first type of random walk and a set of hyperedge embeddings from the second type of random walk; and using results of the first and second random walks to train a neural network to create an embedding for the unlabeled vertex.

Abstract: A method may include predicting an acceleration event of a vehicle. The method may further include predicting a maximum speed of the predicted acceleration event. The method may also include determining an engine start time based on the predicted maximum speed. The method may still further include starting an engine of the vehicle at the engine start time.

Abstract: Disclosed herein are herbal formulations for relief from symptoms of skin disease. The formulations can also be combined with an active or inactive pharmaceutical ingredient, and/or a pharmaceutically acceptable excipient.

Abstract: A method may include predicting an acceleration event of a vehicle. The method may further include predicting a maximum speed of the predicted acceleration event. The method may also include determining an engine start time based on the predicted maximum speed. The method may still further include starting an engine of the vehicle at the engine start time.

Abstract: Disclosed herein are herbal formulations for relief from symptoms of skin disease. The formulations can also be combined with an active or inactive pharmaceutical ingredient, and/or a pharmaceutically acceptable excipient.

Abstract: Disclosed herein are herbal formulations for relief from symptoms of skin disease. The formulations can also be combined with an active or inactive pharmaceutical ingredient, and/or a pharmaceutically acceptable excipient.

Abstract: The present disclosure relates to a method of manufacturing a lead-acid battery, the method including: (i) extending a current collector from an end of a cell pack; and (ii) laser-welding a bus bar to the current collector.

Abstract: Disclosed herein are herbal formulations for relief from symptoms of skin disease. The formulations can also be combined with an active or inactive pharmaceutical ingredient, and/or a pharmaceutically acceptable excipient.

Abstract: Disclosed herein are herbal formulations for relief from symptoms of skin disease. The formulations can also be combined with an active or inactive pharmaceutical ingredient, and/or a pharmaceutically acceptable excipient.

Abstract: The present invention relates to a system and a medium for analyzing one or more analytes in rheumatoid arthritis subjects to determine whether the subject is at increased risk of diseases such as a cardiovascular disease, the subject's current cardiovascular disease burden, and the likelihood of cardiovascular disease progression in the subject. In addition, the present invention further provides methods for analyzing data to determine risk of cardiovascular disease, current cardiovascular disease burden, and the likelihood of cardiovascular disease progression in a rheumatoid arthritis subject.

Abstract: Disclosed herein are herbal formulations for relief from symptoms of skin disease. The formulations can also be combined with an active or inactive pharmaceutical ingredient, and/or a pharmaceutically acceptable excipient.

Abstract: The present invention relates to a system and a medium for analyzing one or more analytes in rheumatoid arthritis subjects to determine whether the subject is at increased risk of diseases such as a cardiovascular disease, the subject's current cardiovascular disease burden, and the likelihood of cardiovascular disease progression in the subject. In addition, the present invention further provides methods for analyzing data to determine risk of cardiovascular disease, current cardiovascular disease burden, and the likelihood of cardiovascular disease progression in a rheumatoid arthritis subject.

Abstract: A multiple cell monoblock battery in which a plurality of electrochemical cells are disposed in a plastic or metal case and each of the cells includes an enclosure providing for gas to exit while preventing electrolyte to exit the enclosure. A novel integral system of flow channels allows liquid coolant to flow between adjacent cells. Other special features, such as cell interconnections are described.