Abstract: Systems and methods for automatic assessment of a lesion are provided. One or more input medical images of a vessel of a patient is received. A lesion is defined in the one or more input medical images. A region of interest around the lesion is defined in the one or more input medical images. Radiomic features are extracted from the region of interest. An assessment of the lesion is determined using a machine learning based classifier network based on the radiomic features. The assessment of the lesion is output.

Abstract: Integrated circuits can include semiconductor devices with back-side field plates. The semiconductor devices can be formed on substrates that have conductive layers located within the substrates. The conductive layers can include at least one of a conducting material or a semi-conducting material that modifies an electric field produced by the semiconductor devices. The semiconductor devices can include one or more semiconductor layers that include one or more materials having a compound material that includes at least one Group 13 element and at least one Group 15 element.

Abstract: Various embodiments herein relate to a user equipment (UE) context management (collectively, “UCM”) function of a cellular network. The UCM may be configured to store an inactive radio network temporary identifier (I-RNTI) and context information related to a UE prior to the UE entering an RRC_INACTIVE state. The UCM may be further configured to provide, based on a request related to an RRC resume procedure of the UE, an indication of the I-RNTI and the context information. Other embodiments may be described and/or claimed.

Abstract: A continuous time linear equalizer (CTLE) circuit (100) comprises a main stage (101) and an auxiliary stage (102). The main stage (101) comprises a first differential amplifier stage circuit having a differential pair of transistors (M1, M2), configured to operate independently to amplify signals in a low-frequency range and change a DC gain of the main stage (101). An auxiliary stage (102) comprising a differential amplifier stage circuit having a second differential pair of transistors (M3, M4), configured to operate independently to change AC gain peaking of the auxiliary stage (102), wherein the main stage (101) is electrically coupled to the auxiliary stage (102) via a pair of coupling capacitors, and the change in the DC gain of the main stage (101) has no effect on the change in the AC gain peaking of the auxiliary stage (102), or vice versa.

Abstract: A system includes: a power stage having a first terminal, a second terminal, a third terminal, and a fourth terminal; and a controller having a first terminal, a second terminal, a third terminal, a fourth terminal, and a fifth terminal. The first terminal of the controller is coupled to the fourth terminal of the power stage. The second terminal of the controller is coupled to the third terminal of the power stage. The third terminal of the controller is coupled to the first terminal of the power stage. The fourth terminal of the controller is coupled to the second terminal of the controller. The controller includes an adaptive slope compensation circuit configured to: obtain input parameters; adjust a scaling factor responsive to the input parameters; adapt a slope compensation current responsive to the scaling factor; and output a slope compensation signal responsive to the adapted slope compensation current.

Abstract: A switching converter controller includes: a stopband controller having a stopband controller input and a stopband controller output, the stopband controller is configured to provide stopband information at the stopband controller output responsive to a reference signal; a pulse-frequency modulation (PFM) controller having a first PFM controller input, a second PFM controller input and a PFM controller output, the first PFM controller input configured to receive a feedback error signal, the second PFM controller input coupled to the stopband controller output, and the PFM controller configured to selectively adjust a clock signal at the PFM controller output based on the feedback error signal and the stopband information; and a driver circuit having a driver circuit input coupled to the PFM controller output and configured to receive the clock signal, and having a driver circuit output adapted to be coupled to a power stage switch.

Abstract: Computing systems of a multi-tenant trusted domain collect metadata describing data stored in data sources of a set of tenant trusted domains. The computing systems of the multi-tenant trusted domain use the metadata to process natural language questions based on data stored in data sources of a tenant trusted domain. The computing systems of the multi-tenant trusted domain identify a set of data sources of the tenant trusted domain that are relevant for processing the natural language question and generate an execution plan for answering the natural language question. The computing systems of the multi-tenant trusted domain send the execution plan to one or more computing systems of the tenant trusted domain. The computing systems of the tenant trusted domain execute the execution plan and send the result of executing the execution plan to a client device that sent the natural language question.

Abstract: A concentrated mouthwash formulation is provided herein including a blend of essential oils comprising peppermint oil, tee tree oil, and clove oil, wherein the concentrated mouthwash formulation is configured to be dispersed within a volume of water to produce a mouthwash solution.

Abstract: Systems and methods for generating autocomplete text using a language model are disclosed. An image and text-prefix may be entered at an input field of a search application. The image is processed to generate an image description. The image description and the text-prefix signals may be used as input at a language model to generate an autocomplete text by the language model. A contextual history may also be included as input to the language model. The autocomplete text is an output by the language model based on the input at the language model. The auto-complete text may be a next-word ghosting.

Abstract: To mine and visualize related topics in a knowledge base, where a knowledge base is mined for related topics to create a knowledge graph that is output as a visualization display of automatically suggested related topics. To mine the knowledge base an approach has been developed which incorporates user personalized results in addition to semantic context. The results are displayed in a visualization display for user interaction. While interacting with a suggested topic the user can view and select related topic information which enables users to discover other similar or related topics they would be interested in gaining additional context about. Thus, the related topics and visualization display according to aspects described herein may serve the purpose of more effective utilization and exploration of the knowledge base.

Abstract: A system for providing enhanced search functionality is provided. A system may receive a prefix from a user device and identify that a user's intent is to do an exploratory query. The system may further identify a topic based on the prefix and generate one or more associated queries relating to the topic. The system may further generate one or more headings relating to the topic. The system may then provide one or more of the one or more headings and the one or more associated queries relating to the topic to a user device.

Abstract: A system maintains a queue for storing packets, which are enqueued at a tail of the queue and dequeued at a head of the queue. The system computes a queue utilization value, based on the packets stored in the queue. The system computes an excess amount value, based on the packets stored in the queue and previously tagged as excess packets. The system receives a first packet at the tail of the queue and determines whether a difference between the queue utilization value and the excess amount value exceeds a predetermined threshold. Responsive to determining that the difference exceeds the predetermined threshold, the system tags the first packet as an excess packet. Responsive to tagging the first packet as an excess packet, the system performs an operation associated with the first packet or a second packet at the head of the queue to reduce congestion.

Abstract: Techniques as described herein may be implemented to support selecting a transmission path in a multi-path network link. In an embodiment, respective cumulative data carrying capacities for selected network paths in a group of network paths defining a multi-path group used to forward network packets from a first network node to a second network node are computed. A cumulative capacity comparison value for a received network packet in a flow of network packets is computed based at least in part on a hash value used to distinguish the flow from other flows of network packets. A specific network path is selected from amongst the network paths of the multi-path group, over which to forward the received network packet from the first network node towards the second network node, based on comparing the cumulative capacity comparison value with at least a subset of the cumulative data carrying capacities.

Abstract: A system for data encryption includes any or all of: a set of items, a set of keys, and a server. A method for data encryption includes any or all of: encrypting items, sharing items, and reading items. The method can optionally additionally or alternatively include any or all of: performing a registration process, creating items, restricting access of users and/or supplementary systems to items, and/or any other suitable processes.

Abstract: Recommendations of one or more authorizing components are provided to issuers and/or merchants for enhancing approval rates of payment processing requests. A server system receives a payment authorization request for a payment transaction between a cardholder and a merchant in real time. Payment transaction features associated with the payment transaction are identified based on the payment authorization request. A combination of one or more authorizing components to be applied to the payment transaction is predicted to obtain a product recommendation strategy for the payment transaction. The combination of one or more authorizing components is predicted based on a trained machine learning model and the payment transaction features. The payment authorization request and the product recommendation strategy are transmitted to an issuer associated with the cardholder.

Abstract: Systems and methods for deep technology innovation management by cross-pollinating innovations dataset are disclosed. A system extracts context-based keyword from an innovation dataset by transforming the innovation dataset to a vector. Further, the system searches semantically relevant keywords for the extracted context-based keyword, by extracting an entity and a key phrase from the extracted a context-based keyword. Furthermore, system clusters the vector, by identifying frequent keywords in the semantically relevant keywords to obtain cluster centroids of the frequent keywords. Thereafter, the system determines weighted keywords in each cluster using the obtained cluster centroids, and classifies the weighted keywords to identify emerging innovation trends relevant to the innovation in the innovation dataset. The system forms cohorts of innovators to explore the reuse of innovations, assets, code, and build focused monetization model.

Abstract: A method and apparatus of a device that manages a video telephony call is described. In an exemplary embodiment, the device receives a heads-up of a network event from a network service of a device. The device further determines that the network event that is due to a local disruption of a network component of the device. In addition, and in response to the determination, the device adjusts a target delay of the video telephony call.