Abstract: A method and apparatus of detecting life in a wearer of a body-worn device includes at least a temperature sensor and a motion sensing device (e.g., an accelerometer) interfaced or within the body-worn device, each coupled to the wearer of the body worn device to measure body temperature of the wearer as well as movement of the wearer. Further sensors such as heart beat sensors are also anticipated for improved accuracy. The method and apparatus of detecting life declares that the wearer is dead after successive periodic readings of temperature have continually changed at a predetermined rate and no movement has been detected by the motion sensing device for a predetermined period of time. In some embodiments, the motion sensing device is a three-axis accelerometer.

Abstract: A method of data management in a data storage system including a plurality of data storage units, the method includes dividing each file in the data storage system into a plurality of blocks having a common size. The method further includes generating a hash value for each block using a common hash algorithm. The method further includes identifying a plurality of similar files in different data storage units, based on a comparison of the hashes for each file. The method further includes copying one or more of the identified similar files, such that similar files are stored in a single data storage unit and for one or more of the copied files, generating a link to a new location of the file. The method provides an efficient, effective, and adequate reduction of the primary storage as well as the secondary storage space.

Abstract: Provided herein are the compositions and methods of manufacturing of injectable gels of cross-linked hyaluronic acid associated to a varying degree with hydroxyapatite.

Abstract: A system, method, and computer-readable medium are disclosed for performing a data center monitoring and management operation. The data center monitoring and management operation includes: identifying a data center infrastructure utilization unit associated with an information technology (IT) environment, the IT environment including a data center asset; analyzing the IT environment based upon the data center infrastructure utilization unit; and, presenting a data center infrastructure utilization quantification based upon the analyzing.

Abstract: Provided herein is a computing system for detecting compromised merchants in a payment card network.

Abstract: Techniques for media content view reporting for reward granting are described herein. In accordance with various embodiments, server(s) prepare a media content item embedded with multiple parts of a key, where the key is associated with proof of viewing the media content item at a client device during a playback session. The server(s) cause the client device to decode the media content item to obtain the multiple parts during the playback session. The server(s) also receive an indication of the client device having accumulated a set of the multiple parts as proof of viewing. The client device receives the parts embedded media content item and decodes the media content item during the playback session. The client device also extracts and accumulates the multiple parts. The client device additionally sends an indication indicating having accumulated a set of the multiple parts as proof of viewing.

Abstract: Systems, methods, and computer program products for maintaining a collection of ecosystem credit tokens based on modelled outcomes are provided. In various embodiments, an ecosystem attribute target profile for the collection of ecosystem credit tokens is accessed. The target profile comprises a set of ecosystem characteristics, quantities of one or more ecosystem characteristics, and permanence of one or more ecosystem characteristics. A set of ecosystem credit tokens is accessed, wherein each ecosystem credit token data record comprises one or more of: a validated and verified management event, a methodology, an ecosystem attribute, a boundary, an ecosystem impact, an ecosystem credit, and an ecosystem attribute quantification method. A current profile of the collection of ecosystem credit tokens is determined, wherein the profile comprises the set of ecosystem characteristics within the collection, quantities of ecosystem characteristics, and permanence of ecosystem characteristics.

Abstract: A system includes a communication interface for receiving information that includes data collected from an array of neural activity sensors that were placed on a patient during a session of applied stimuli. A processor is configured to analyze the received information to obtain a frequency spectrum for each sensor for a given stimulus of the applied stimuli. Neural network frequencies that correspond to an indicated impaired functionality of the nervous system of the patient are selected. For each selected frequencies, a spatial map of neural activity is generated. Each of the generated spatial maps is compared with retrieved corresponding spatial maps to identify treatment frequencies from among the selected neural network frequencies. A treatment protocol is generated for input into an electromagnetic field generator to cause the generator to apply to the patient an electromagnetic field at each identified treatment frequency.

Abstract: Systems and methods for configuration for contextual response to motion-based events are disclosed. For example, a predefined event may be detected. The system may determine that a subject associated with the event is of a given type of subjects and may determine whether another person is present in the environment associated with the event to assist in providing aid. The presence of the other person may be detected, a type of the other person may be performed, and a notification may be output on a second device associated with the other person based on the type. The system may track when the other person reach an area associated with the event and may cause the first device to perform an action to assist the other person in providing aid.

Abstract: The invention provides means, methods, and compositions of matter useful for enhancing tumor response to checkpoint inhibitors. In one embodiment, the invention teaches utilization of extracorporeal apheresis, specifically removal of various tumor derived, or tumor microenvironment derived immunological “blocking factors”. In one embodiment the invention provides the removal of soluble TNF-alpha receptors (sTNF-Rs) as a means of augmenting efficacy of immune checkpoint inhibitors. In one specific embodiment removal of sTNF-Rs is utilized to enhance efficacy of inhibitors of the PD-1/PD-L1 pathway, and/or the CD28/CTLA-4 pathway.

Abstract: A method for securing a serverless application including: (a) receiving a list of components which make up the serverless application and one or more intended usage flows of the serverless application; (b) creating and applying a security policy for each component of the serverless application, the security policy denying all access requests except from authorized components, wherein the authorized components are selected based on access requirements dictated by the one or more intended usage flows.

Abstract: Systems, methods, and computer program products for recommending farming practices based on modelled outcomes are provided. In various embodiments, field data comprising geospatial boundaries of one or more field are received. Management event data comprising one or more management events within the one or more fields is received. For each management event, a management event boundary defining geospatial boundaries is received, and one or more management zones is determined based on the management event boundaries. The determination of one or more management zones comprises sequentially intersecting a geospatial boundary. Each sequential intersection operation creating two branches, one with the intersection of the geometries and one with the difference.

Abstract: A method of bot detection in a computer network leverages a machine learning system. The machine learning system receives a fingerprint derived at a server, the server having extracted a set of transport layer security parameters received from a client and processed the set parameters into the fingerprint. Based at least in part on the fingerprint, the learning system determines whether the client is likely to be a bot as opposed to a human user. The system generates and returns to the server as score having a first value when the fingerprint is determined to be associated with a good client, and having a second value when the fingerprint is determined to be associated with a bot. Based on the score received from the machine learning system, the server takes a configured action with respect to the client.

Abstract: The present invention concerns non-human animals with cells having a genome that is lacking the entire E3 ubiquitin ligase (Ube3a) gene (including all isoforms and alternative promoters). These animals are useful for modeling Angelman Syndrome. The invention also includes methods for assessing the effect of an agent, such as potential therapeutics, on an animal model by exposing the animal or cells, tissues, or organs isolated therefrom, to an agent of interest.

Abstract: An interface of a separate module added to a web browser is overlaid over content of a window of the web browser. A new content item to be added to a repository of content items shared among a select group of users is received via the overlaid interface of the separate module. A search input is received via the overlaid interface of the separate module. One or more content items responsive to the search input within the repository of content items shared among the select group of users are identified. At least one of the identified content items responsive to the search input is provided via the overlaid interface of the separate module for use in the content of the window of the web browser.

Abstract: Plant cells and related systems, methods, and compositions for improving the capacity of the plant cells to regenerate embryogenic plant tissues, plant organs, and whole plants are provided. Such plant cells and related systems, methods, and compositions provide for increased expression of the endogenous morphoregulators BABYBOOM (ODP2) and/or WUSCHEL2 (WUS2).

Abstract: A computerized system and method for allocating multi-functional or multi-feature resources (which may handle multiple functions or tasks, e.g., simultaneously) for a plurality of time intervals, including: transforming an initial allocation matrix (which may associate each resource with a single function, task, or feature - and may not address simultaneous handling of tasks or task types by the resources) into an updated allocation matrix, where the updated allocation matrix includes a plurality of feature matrices describing different multi-feature resources to be allocated; predicting, using a machine learning (ML) model, expected service metrics for the updated allocation matrix; and providing a final allocation matrix based on the expected service metrics. Embodiments may perform iterative calculations and/or transformations of data to improve allocation matrices and provide a final allocation matrix for which predicted service metrics correspond to required or optimal service metrics.

Abstract: A system for detecting fraud within a payment card network includes a memory storing historical transaction data and a processor configured to identify a set of historical transaction data, the set of historical transaction data include one or more test transactions labeled as having been used to test validity of an underlying account, train a model using the identified set of historical transaction data as labeled training data, the model is configured to accept transaction data associated with an input transaction and to classify the input transaction as a test transaction, apply a suspect transaction of a cardholder account as the input transaction to the model, the model generates an indication that the suspect transaction is a test transaction, mark the cardholder account as compromised based on having experienced test transaction activity, and reject a pending transaction based on the cardholder account being marked as compromised.

Abstract: A computing system can input first relative location embedding data into an interaction transformer model and receive, as an output of the interaction transformer model, motion forecast data for actors relative to a vehicle. The computing system can input the motion forecast data into a prediction model to receive respective trajectories for the actors for a current time step and respective projected trajectories for the actors for a subsequent time step. The computing system can generate second relative location embedding data based on the respective projected trajectories from the second time step. The computing system can produce second motion forecast data using the interaction transformer model based on the second relative location embedding. The computing system can determine second respective trajectories for the actors using the prediction model based on the second forecast data.