Abstract: In an example, a system is adapted to be coupled to a load device having a load clock. The system includes a clock generation device with a pin. The system also includes a capture circuit coupled to the pin and operable to sample a value at the pin. The system includes a D flip-flop having a data input coupled to the capture circuit, a clock input coupled to a clock, and having an output, where the D flip-flop is operable to provide, at the output, a system reference event (SYSREF) signal to align the load clock to the clock, based at least in part on the value at the pin.

Abstract: Object-based transportation between tenants may provide advantages over persistence layer-based transportation on a cloud platform in situations where persistence layer storage space is limited. Object based transportation involves obtaining a selection from the target tenant application of a set of objects from the plurality of objects and determining objects identifiers for each of the selected set of objects. For each object in the selected set of objects, a request is sent to a source tenant. The requests includes the corresponding object identifier for that object. Corresponding object data is received from the source tenant. At least a portion of the corresponding object data is stored in a target tenant database. An existing object may be updated or a new object may be created.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to train a machine learning algorithm to detect text of interest. In some embodiments, there is provided a system to detect vertically oriented text of interest including a first data set comprising a plurality of captured digital images each depicting an object of interest and a second data set comprising a plurality of augmented digital images each depicting a captured digital image augmented with a synthetic text image; a first control circuit configured to cause the machine learning algorithm to output a machine learning model trained to automatically detect occurrences of vertically oriented text of interest based on the first data set and the second data set; at least one camera; and a second control circuit configured to execute the machine learning model to automatically detect vertically oriented text of interest on the object of interest.

Abstract: Efficient transport of content packages comprising multiple objects, is achieved utilizing lineage analysis. User selection of an object in a package, triggers a dependency request to a landscape containing the object. The landscape returns a dependencies result, which includes dependencies between the selected object and others present within the landscape. The dependencies result is used to create a dependents tree structure. Based upon the dependents tree and the originally selected object, a lineage view is created and afforded to the user. Example lineage views may comprise spider charts with the selected object at the center. The user may further explore object dependencies by interacting with the lineage view to create other lineage views. Providing intuitive visualization of object dependencies, aids in efficient package transport (e.g., by allowing a user to identify dependent object(s) missing from the package, and/or particular objects having many dependent objects that also require transport).

Abstract: A method comprises determining instance bounds associated with each of one or more structural elements in a document using a machine learning model. The method further comprises determining an error in the instance bounds associated with a particular one of the one or more structural elements. The method further comprises correcting the error in the instance bounds associated with the particular structural element using document content associated with the particular structural element, thereby generating corrected instance bounds associated with the particular structural element. The method further comprises generating a structural map of the document based on the corrected instance bounds.

Abstract: Methods and systems for expedited authentication for mobile applications are described herein. A user of a mobile device may authenticate with an enterprise system, and thereby be granted access to enterprise applications and services on the mobile device. The user may then activate an application in a managed partition of the mobile device. The application may determine that the enterprise system supports expedited authentication. The application may request expedited authentication, and the request may be compared to policies for expedited authentication. If the request is permitted, the application may be granted access to an authorization code for expedited authentication. The application may then perform the expedited authentication, and the user may be granted access to the application when the expedited authentication has completed.

Abstract: A circuit for subharmonic detection includes in-phase and quadrature mixers, first and second filters, and a processing circuit. The in-phase mixer has a first mixer input and a first mixer output. The quadrature mixer has a second mixer input and a second mixer output, the first mixer input coupled to the second mixer input. The first filter circuit has a first filter input and a first filter output, the first filter input coupled to the first mixer output. The second filter circuit has a second filter input and a second filter output, the second filter input coupled to the second mixer output. The processing circuit has a first input and a second input, the first input of the processing circuit coupled to the first filter output, the second input of the processing circuit coupled to the second filter output.

Abstract: A circuit for subharmonic detection includes in-phase and quadrature mixers, first and second filters, and a processing circuit. The in-phase mixer has a first mixer input and a first mixer output. The quadrature mixer has a second mixer input and a second mixer output, the first mixer input coupled to the second mixer input. The first filter circuit has a first filter input and a first filter output, the first filter input coupled to the first mixer output. The second filter circuit has a second filter input and a second filter output, the second filter input coupled to the second mixer output. The processing circuit has a first input and a second input, the first input of the processing circuit coupled to the first filter output, the second input of the processing circuit coupled to the second filter output.

Abstract: Disclosed are methods of treating an individual, for example, a human individual, or more particularly a pediatric individual, having a disease characterized by liver fibrosis, comprising administering a therapeutically effective amount of one or both of a Complement Factor B inhibitor and a Complement Factor P (“CFP” or “properdin”) inhibitor, e.g., anti-CFP antibody and/or anti-CFB antibody or the respective antigen-binding fragment(s) thereof. Exemplary disease states include, but are not limited to, biliary atresia and post-Kasai biliary atresia.

Abstract: An aspect of the present disclosure facilitates early identification of problems in execution of background processes. In one embodiment, a digital processing system characterizes the consumption of multiple resources during normal prior executions of a background process and determines a baseline pattern of consumption of resources for the background process. The system then monitors a current pattern of consumption of the resources during a current execution of the background process, and checks whether the current pattern of consumption has a deviation from the baseline pattern of consumption. The system notifies a potential problem with the current execution of the background process if a deviation is determined to exist. The notifications enable a user to get an early indication of potential problems during the execution of the background process itself.

Abstract: Methods and systems for Radio Access Network (RAN) aggregation of multiple Radio Access Technologies (RATs). A method disclosed herein includes aggregating the RATs at a RAN level to provide at least one User Equipment (UE) with multi-connectivity. The method further includes enabling at least one Centralized unit (gNodeB-CU) within at least one RAN node to uniformly control Distributed Units (DUs) of different RATs (5G New Radio (NR) and Wireless Local Area Network (WLAN) RATs). The method further includes enabling the at least one gNB-CU to control the at least one UE and allow the at least one UE to connect with an additional RAT irrespective of an initial RAT, the UE is connected to. The method further includes controlling WLAN Access Point (AP) as a 5G distributed unit (gNB-DU).

Abstract: In an example, a system is adapted to be coupled to a load device having a load clock. The system includes a clock generation device with a pin. The system also includes a capture circuit coupled to the pin and operable to sample a value at the pin. The system includes a D flip-flop having a data input coupled to the capture circuit, a clock input coupled to a clock, and having an output, where the D flip-flop is operable to provide, at the output, a system reference event (SYSREF) signal to align the load clock to the clock, based at least in part on the value at the pin.

Abstract: A method comprises determining instance bounds associated with each of one or more structural elements in a document using a machine learning model. The method further comprises determining an error in the instance bounds associated with a particular one of the one or more structural elements. The method further comprises correcting the error in the instance bounds associated with the particular structural element using document content associated with the particular structural element, thereby generating corrected instance bounds associated with the particular structural element. The method further comprises generating a structural map of the document based on the corrected instance bounds.

Abstract: Methods, devices, and systems are described for creating and implementing search query vectors for knowledge base articles or other formal articles, the query vectors automatically created from informal correspondence such as a service request email to an information technology (IT) department. Term frequency-inverse document frequency (TF-IDF) scores are calculated for rarewords in the correspondence with respect to a corpus of other service requests. High scoring terms with the same neighbors as those in the corpus of formal articles are added to the search query vector, while high scoring terms that do not share the same neighbors are thrown out. The query vector is then used to run a search of the knowledge base for relevant articles.

Abstract: An example apparatus includes: a first flip flop having a first output and a first reset input, a second flip flop having a first data input, a second output, and a second reset input, the second reset input coupled to the first reset input, a logic gate having a first logic input, a second logic input, and a first logic output, the first logic input coupled to the first output and the second logic input coupled to the second output, a delay cell having a delay cell input and a delay cell output, the delay cell input coupled to the first logic output and the delay cell output coupled to the first reset input and the second reset input, and pulse swallowing circuitry having a circuitry input and a circuitry output, the circuitry input coupled to the second output and the circuitry output coupled to the first data input.

Abstract: Methods and systems for using multi-connectivity for multicast transmissions in a communication system. A method disclosed herein includes using multi-connectivity that enables at least one User Equipment (UE) to receive at least one Multimedia Broadcast Multicast Service (MBMS) content from the plurality of BSs at a time on different physical resource blocks. The method further includes enabling the plurality of BSs to maintain independent MBMS sessions for transmitting the at least one MBMS content to the at least one UE without synchronization. The method further includes enabling the at least one UE to combine the at least one MBMS content received from the plurality of BSs or to select a MBMS content from the received at least one MBMS content.

Abstract: Techniques are disclosed for identifying document structural elements and correcting errors in the classification and/or location of the identified structural elements. An example method includes determining location and classification for a structural element on a page of the document using a machine learning (ML) model; determining one or more errors in the location and/or classification for the structural element; and correcting each instance of the one or more errors using other content in the document (e.g., content spatially adjacent to the corresponding structural element on the page of the document). The method may further include storing the document and the location and classification (as corrected), and/or generating a structural map of the page of the document based on the location and classification (as corrected). The use of the document content to correct errors greatly enhances the agreement between the identified structural elements and the original document.

Abstract: A frequency synthesizer includes a phase-locked loop (PLL). The PLL includes a first voltage-controlled oscillator (VCO) and a second VCO, each comprising an oscillator, a capacitor bank, and a bias circuit. The capacitor bank is configured to selectably adjust an output frequency of the oscillator. The bias circuit is configured to provide a bias current to the oscillator, and includes a current digital-to-analog converter (IDAC), and an amplifier coupled to the IDAC and configured to drive the oscillator.

Abstract: According to an aspect of the present disclosure, a correlation data correlating resource usage with workload signatures is maintained, each workload signature representing a cluster of block signatures, each block signature characterizing the transaction instances initiated in a corresponding block duration. For the transactions received in a current block duration, if a current block signature is not contained in the correlation data and if the current transaction arrival rate (TAR) is greater than an expected TAR, a resource requirement for the current block signature is computed. Actions to manage capacity to handle transaction instances are triggered if the resource requirement is greater than the resource allocation in the current block duration. As an unknown current block signature and a higher TAR may be indicative of a workload surge, triggering suitable actions for such block signatures facilitates such surges to be handled by the software application.

Abstract: An aspect of the present disclosure facilitates early identification of problems in execution of background processes. In one embodiment, a digital processing system characterizes the consumption of multiple resources during normal prior executions of a background process and determines a baseline pattern of consumption of resources for the background process. The system then monitors a current pattern of consumption of the resources during a current execution of the background process, and checks whether the current pattern of consumption has a deviation from the baseline pattern of consumption. The system notifies a potential problem with the current execution of the background process if a deviation is determined to exist. The notifications enable a user to get an early indication of potential problems during the execution of the background process itself.