Abstract: The compositions and methods described herein are topically applied to the skin with negligible or no skin irritation and can direct or prevent transport through the skin. The compositions contain neat ionic liquids, optionally in combination with a drug to be delivered. In a preferred embodiment, the compositions increase transdermal transport of the drug to be delivered. In some embodiments, the compositions disrupt bacterial biofilms. This is particularly beneficial in the treatment of antibiotic resistant skin infections. In other embodiments, the compositions direct delivery within the skin. In still other embodiments, the compositions prevent transfer of substances through the stratum corneum. The disclosed compositions and methods can be tuned and modified such that they can be used to treat or prevent a variety of different diseases and disorders.

Abstract: A garage door opener system includes a garage door opener having one or more sensors configured to monitor the status of a garage door as it moves between first and second positions. The garage door opener system may detect one or more anomalies in a profile generated from information from the one or more sensors and alert a user to the presence of those anomalies. The garage door opener system may allow a user to find and contact a service provider to address the one or more anomalies.

Abstract: A DI recovery management system generates a plurality of ranked claimant records and recovery scores. A predictive machine learning model inputs disability income claim data and disability income claimant data into an event history model utilizing discrete-time survival analysis in conjunction with a gradient boosting machine learning model. The claim termination event is one of a plurality of preselected recovery events that indicate that a claimant has achieved return-to-work capacity. Claimant data used in modeling includes diagnosis data representative of workplace disability duration guidelines. The predictive machine learning model is continually trained using updated disability income claims data. The training procedure transforms claimant records extracted from a DI claims database into a longitudinal format that includes multiple person-year records corresponding to each claimant record.

Abstract: The present matter relates to compositions comprising Teneurin C-terminal Associated Peptide - 1 (TCAP-1) and methods and uses of same for enhancing and/or restoring muscle function.

Abstract: Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.

Abstract: Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.

Abstract: The present matter relates to compositions comprising Teneurin C-terminal Associated Peptide-1 (TCAP-1) and methods and uses of same for enhancing and/or restoring muscle function.

Abstract: Compositions comprising a Teneurin C-terminal Associated Peptide—1 (TCAP-1) peptide are described with respect to methods and uses of same for preventing and/or treating post-traumatic stress disorder (“PTSD”).

Abstract: A DI recovery management system generates a plurality of ranked claimant records and recovery scores. A predictive machine learning model inputs disability income claim data and disability income claimant data into an event history model utilizing discrete-time survival analysis in conjunction with a gradient boosting machine learning model. The claim termination event is one of a plurality of preselected recovery events that indicate that a claimant has achieved return to work capacity. Claimant data used in modeling includes diagnosis data representative of workplace disability duration guidelines. The predictive machine learning model is continually trained using updated disability income claims data. The training procedure transforms claimant records extracted from a DI claims database into a longitudinal format that includes multiple person-year records corresponding to each claimant record.

Abstract: Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.

Abstract: Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.

Abstract: This invention relates to a method of increasing energy available to skeletal muscle cells comprising administering to the cells an effective amount of Tenurin C-terminal Associated Peptide (TCAP). The invention provides the use of TCAP to enhance muscle performance or recovery after injury as well as to prevent and/or treat a number of conditions including insulin resistance, type II diabetes, hypoxia and glycogen storage diseases.

Abstract: The present matter relates to compositions comprising a Teneurin C-terminal Associated Peptide-1 (TCAP-1) peptide and methods and uses of same for preventing and/or treating post-traumatic stress disorder (“PTSD”).

Abstract: The invention provides a novel family of biologically active neuropeptides and the nucleic aid molecules coding for same. The peptides are derived for the C-terminus of the teneurin family peptides (Ten M1-4). These novel peptides, referred to as teneurin C-terminal associated peptides (TCAPs) are active in neuronal communication and are implicated in a number of neuropathologies. They are particularly useful in modulating stress responses and anxiety and in the treatment of cancer.

Abstract: This invention relates to a method of increasing energy available to skeletal muscle cells comprising administering to the cells an effective amount of Tenurin C-terminal Associated Peptide (TCAP). The invention provides the use of TCAP to enhance muscle performance or recovery after injury as well as to prevent and/or treat a number of conditions including insulin resistance, type II diabetes, hypoxia and glycogen storage diseases.

Abstract: A personnel management system determines an estimated time for return to employability. A server is configured to determine that a user's status has changed from available to unavailable, then the server facilitates a session between the user and an administrator. The server generates a set of inquiries based on user information and the nature of unavailability and evaluates user's responses. The server generates a second set of inquiries based on the responses. The server determines a stage based upon a likelihood of a status change from unavailable to available by evaluating user information and responses. The server generates and transmits a query regarding user's health information and determines a score based on the calculated stage and the health risk factors of the user. The server generates a web page with a set of action items associated with the generated score and modifies user's record based upon the calculated score.

Abstract: The present matter relates to compositions comprising Teneurin C-terminal Associated Peptide-1 (TCAP-1) and methods and uses of same for enhancing and/or restoring muscle function.

Abstract: Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.

Abstract: This invention relates to a method of increasing energy available to skeletal muscle cells comprising administering to the cells an effective amount of Tenurin C-terminal Associated Peptide (TCAP). The invention provides the use of TCAP to enhance muscle performance or recovery after injury as well as to prevent and/or treat a number of conditions including insulin resistance, type II diabetes, hypoxia and glycogen storage diseases.