Abstract: Methods, systems, and devices include processing one or more inputs including at least one of patient-provided answers and device utilization information in association with at least one health domain, wherein the at least one health domain is associated with one or more chronic conditions, determining one or more states of a patient in association with the at least one health domain based at least in part on processing the one or more inputs, and storing information describing the one or more states in an electronic data record.

Abstract: This disclosure relates generally to a method and system for generative Al based unified virtual assistant. Conventional virtual assistant for enterprise systems needs to be configured for a specific industry or stakeholder and does not provide support for all stakeholders in the enterprise. Also, conventional rule-based virtual assistant or machine learning based virtual assistant need a large database for proper functioning. The disclosed method and system provide a unified virtual assistant for all processes in the enterprise. The unified virtual assistant provides support for all stakeholders in the enterprise and can answer all kinds of queries related to any process of the enterprise according to a role of a user logged into the system. The unified virtual assistant interprets user's query and generates effective prompts depending on the user's query which can be specific to customer, employee, executive or support desk users of the enterprise.

Abstract: Various systems, methods and devices are presented for performing media encryption. A media stream comprising video packets can be received. A chunk of the media stream can be sorted to create a first group of a plurality of audio packets with an I-frame header and a second group of a plurality of P-frames and an I-frame payload. The first group can be encrypted while the second group is not encrypted. A fully-protected output media stream that includes the encrypted first group and the second group can then be streamed to a remote device via a network for output.

Abstract: A method of detecting blur in an input image, the method including: detecting one or more candidate blur regions of a plurality of regions in the input image; determining, a first confidence score of the one or more candidate blur regions in the input image; determining a second confidence score of a global blur in the input image; determining a third confidence score of an intentional blur in the input image; and detecting a type of blur and a strength of the type of blur in the input image based on the first confidence score of the one or more candidate blur regions, the second confidence score of the global blur, and the third confidence score of the intentional blur.

Abstract: A method includes receiving a request. The request is encrypted to generate an encrypted request. The encrypted request includes a version information for a first software package deployed in a standalone computing system, and a region information and a hardware information for the standalone computing system. The encrypted request is sent to a respective regional data center of a cloud computing system based on the region information of the first software package. A second software package is identified among software packages stored in the respective regional data center. The second software package corresponds to the hardware information of the first software package. The version information of the first software package is compared to a version information of the second software package. In response to identifying that the second software package is more recent than the first software package, the second software package is deployed to the standalone computing system.

Abstract: The system (100) and method for simulation and understanding embryology, as compared to prior-arts, is capable to help understand embryology by simulation. System (100) and method includes a processing system (10) that has an interactive module (20) which receives selection of a user from a general embryology module (20a), a systemic embryology module (20b), a genetics module (20c), and a stem cells module (20d). The system (100) and method also includes a text module (30) to display text, an audio-video module (40) to play a three-dimensional simulation module (50) to allow simulation, a fetal surgery and intervention simulation module (60) and a comparative module (70) to allow comparison of fetal anatomical structures and physiology at different developmental stages of age to adults.

Abstract: An electronic system, method, and computer program product coordinate processing and presentation of computer data file to a user by multiple devices that are wirelessly connectable in order to processing and processing requirements of computer data file (e.g., media or multiple spreadsheet file). An electronic device identifies available computational and presentation resources included connected second device(s) to enable coordinated operation. The electronic device segregates the computer data file into multiple segregable functional portions and executes and presents first segregable functional portion(s). The electronic device communicates second segregable function portion(s) to the second device(s) and triggers processing and presenting by the second electronic device(s).

Abstract: The present disclosure relates to systems, methods, and computer-readable media for pre-provisioning server nodes of a server rack and causing the pre-provisioned server node to be deployed on an edge zone of a cloud computing system. In particular, systems described herein involve identifying server nodes based on a customer hardware deployment request and performing a series of pre-provision acts to the server nodes in accordance with the received hardware deployment request. For example, systems described herein pre-provision the hardware by configuring hardware and software on the server nodes, establishing communication with one or more control planes on a datacenter, and bringing the server nodes to a return to web (RTW) state. By pre-provisioning the hardware, the server hardware may be delivered and transitioned to a live state in an efficient manner and without jeopardizing security on the cloud.

Abstract: Hardware based unsupervised based machine-learning (ML) approach to identify a security threat to the processor (e.g., caused by probing of a power supply rail). An apparatus is provided which includes an on-die power supply droop detector as a feature extractor. The droop detector detects a droop in the power supply caused by a probe physically coupling to the power supply rail. The droop detector in combination with machine-learning logic detects change in power supply rail impedance profile due to a probe coupled to the power supply rail. A deep-neural network (DNN) is provided for feature classification that classifies a security threat from normal operation and from operations caused by aging of devices in the processor. The DNN is trained in a training phase or production phase of the processor. An aging sensor is used to distinguish classification of aged data vs. normal data and data from security attack.

Abstract: A method for sharing and analyzing information to support execution of multi-party workflows in an electrification ecosystem. The method may include creating or updating shared data schema and data governance rules associated with data to be received from a plurality of parties, wherein the plurality of parties are stakeholders to the multi-party workflows, and the data is associated with a battery system; submitting the shared data schema and the data governance rules for approval to the plurality of parties; creating or updating decision logics associated with the data to be received; submitting the decision logics for approval to the plurality of parties; receiving the data from the plurality of parties; and applying the approved shared data schema, the approved data governance rules, and the approved decision logics to the multi-party workflows and the received data from the plurality of parties to perform automated decision optimization.

Abstract: A system identifies data objects from a first piece of code in an original programming language and creates a knowledge graph that represents a relationship among the data objects. The system identifies a particular data object that is unique to the original programming language. The system determines a counterpart data object that is used for a particular purpose as the identified data object in a target programming language. The system creates a second piece of code in the target programming language by replacing the particular data object with the counterpart data object. The system determines if the second piece of code is configured to perform a task that the first piece of code is programmed to perform. In response to determining that the second piece of code is configured to perform the particular task, the system executes the second piece of code.

Abstract: Disclosed are various approaches for ensuring application integrity for enterprise resource access. In some examples, a client device extracts installed application data from a local instance of an application that is installed on the client device. The installed application data includes actual certificate-based signature information for the local instance of the application. An application verification status is generated using the actual certificate-based signature information and the expected certificate-based signature information; and network access to a protected set of enterprise resources is permitted or denied using the application verification status.

Abstract: An electronic device, method, and computer program product automatically support fingerprint authentication using a fingerprint scanner on an opposite side even when the electronic device is detected as being grasped upside down. The electronic device includes front and back fingerprint scanners respectively exposed on front and back sides of a device housing. In response to determining that a requirement exists for scanning a fingerprint of a user while the electronic device is upside down, a controller of the electronic device triggers at least one of the front and the back fingerprint scanners to initiate scanning. The controller receives a fingerprint image from a corresponding one of the front and back fingerprint scanner. The controller authenticates the user in response to identifying that an upside-down version of the received fingerprint image corresponds to a fingerprint of an authorized user, based on authentication data stored in memory of the electronic device.

Abstract: Systems and methods for the design, deployment and utilization of targeted multimedia communications based upon audiences are disclosed. More specifically, embodiments may allow the targeting of communications to users in multiple media formats from the same multimedia communication templates and the delivery of such communications to users through multiple communication channels.

Abstract: Systems and methods for the design, deployment and utilization of targeted multimedia communications based upon audiences are disclosed. More specifically, embodiments may allow the targeting of communications to users in multiple media formats from the same multimedia communication templates and the delivery of such communications to users through multiple communication channels.

Abstract: The present invention relates to a combination use of a novel Lactobacillus plantarum IMB19 strain and/or polysaccharides derived from the strain with an anticancer drug for preventing or treating tumors. The novel Lactobacillus plantarum IMB19 strain and polysaccharides derived from the strain of the present invention exhibit an excellent ability to stimulate CD8+T cell activity and exhibit excellent Treg cell inhibitory activity, and stimulate and improve antitumor immune response through various mechanisms such as increased macrophage infiltration in CPS tumors and differentiation and reprogramming of macrophages into an inflammatory phenotype (M1). Furthermore, the strain and the polysaccharides may significantly increase antitumor immune response when administered in combination with an anticancer drug, particularly an immuno-anticancer drug such as a PD-1 or PD-L1 inhibitor (e.g.

Abstract: Techniques associated with security orchestration for on-premises infrastructure are disclosed. A policy definition associated with on-premises infrastructure that defines a desired state can be received. From the policy definition, a target of the on-premises infrastructure can be identified. A management service associated with the target can be determined, and a plugin for the management service can be identified. The policy definition can be communicated to the management service through the plugin, and the management service sets the state of the target to the desired state. The state of the target can be monitored. If the state differs from the desired state, a remediation workflow is initiated to set the state to the desired state specified by the policy definition.

Abstract: Described are a system, method, and computer program product for real-time transactions. The method includes receiving a real-time payment identifier request, the real-time payment identifier request including at least one of a phone number associated with the user device and an account identifier. The real-time payment identifier request may be communicated to a real-time payment platform located remotely from the user device. A real-time payment identifier may be received and stored in a real-time payment identifier database stored on the user device. A first transaction identifier request may be received from a first merchant system. The real-time payment identifier may be communicated to the first merchant system. A second transaction identifier request may be received from a second merchant system and the real-time payment identifier may be communicated to the second merchant system.

Abstract: The present disclosure relates to systems and methods for using an artificial intelligence technique for determining a source score based on stretched normalization. A natural language query can be received and mapped. Sources can be identified, and actions can be taken with respect to each source. The actions can include determining an item-source metric, transforming the item-source metric using a stretched-normalization factor, and generating a source score based on the transformed item-source metric. A response to the natural language query can be generated based on the source score, and the response can be output.

Abstract: In one embodiment a Hardware Server Module (HSM) (10) implementing a distributed quorum authentication enforcement is provided, whereby user access to a resource (40) on the device (10) is enforced via an API gateway (16). The HSM comprises one or more resources, a separate resource manager API for accessing the one or more resources, an enforcement module for enforcing access to the one or more resources via the API gateway according to a quorum policy, and a quorum manager for generating and storing a quorum request in a database. The API gateway (16) can be a RESTful API using HTTP requests to produce and consume data related to quorum services via at least one of a GET, PUT, POST, PATCH and DELETE command type. Other embodiments are disclosed.