Abstract: A method and structure for equalization in coherent optical receivers. Block-based LMS (BLMS) algorithm is one of the many efficient adaptive equalization algorithms used to (i) increase convergence speed and (ii) reduce implementation complexity. Since the computation of the equalizer output and the gradient of the error are obtained using a linear convolution, BLMS can be efficiently implemented in the frequency domain with the constrained frequency-domain BLMS (FBLMS) adaptive algorithm. The present invention introduces a novel reduced complexity constrained FBLMS algorithm. This new approach replaces the two discrete Fourier transform (DFT) stages required to evaluate the DFT of the gradient error, by a simple frequency domain filtering. Implementation complexity can be drastically reduced in comparison to the standard constrained FBLMS. Furthermore, the new approach achieves better performance than that obtained with the unconstrained FBLMS in ultra-high speed coherent optical receivers.

Abstract: There is a need to automatically provide one or more electronic documents to the user. In one example, embodiments comprise, generating a facility visit data object for a user describing one or more facility attributes for one or more facilities associated with a potential visit from the user. One or more electronic documents may be determined to be retrieved based at least in part on the facility visit data object. One or more user interaction electronic document data objects may be generated to enable interaction between the user and the one or more electronic document data objects. One or more modified user interaction electronic document data objects may be received and may be provided to one or more facility computing entities in response to one or more trigger events.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by an end-to-end machine learning framework that performs at least the following steps/operations: (i) a service request data object is processed by a diagnosis prediction machine learning model to generate a probabilistic diagnosis data object, (ii) the probabilistic diagnosis data object is processed by the hybrid diagnosis-provider classification machine learning model to generate a variable-length classification for the service request data object, and (iii) the variable-length classification is processed by a telehealth visit recommendation scoring machine learning model to generate a telehealth visit recommendation score for the service request data object.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by generating predicted redirection scores based at least in part on: (i) generic redirection scores that are generated using provider evaluation machine learning models, and (ii) real-time redirection scores that are generated using real-time adjustment machine learning models.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by an end-to-end machine learning framework that performs at least the following steps/operations: (i) a service request data object is processed by a diagnosis prediction machine learning model to generate a probabilistic diagnosis data object, (ii) the probabilistic diagnosis data object is processed by the hybrid diagnosis-provider classification machine learning model to generate a variable-length classification for the service request data object, and (iii) the variable-length classification is processed by a recommendation scoring machine learning model to generate a consultation recommendation score for the service request data object.

Abstract: There is a need to automatically provide one or more electronic documents to the user. In one example, embodiments comprise, generating a facility visit data object for a user describing one or more facility attributes for one or more facilities associated with a potential visit from the user. One or more electronic documents may be determined to be retrieved based at least in part on the facility visit data object. One or more user interaction electronic document data objects may be generated to enable interaction between the user and the one or more electronic document data objects. One or more modified user interaction electronic document data objects may be received and may be provided to one or more facility computing entities in response to one or more trigger events.

Abstract: The present invention provides for nanostructured fibrin and agarose hydrogels, preferably type VII agarose hydrogels, (NFAH) or non-nanostructured or pre-nanostructured fibrin and agarose hydrogels, preferably type VII agarose hydrogels, (FAH), as hemostatic agents designed for use as an adjunct or primary treatment in moderate intraoperative hemorrhage and in trauma. These hydrogels can be applied topically to the wound either on the skin in a laparotomy or as non-invasive manner in surgical procedures. Its nanostructure technology generates an adhesive stable fibrin clot required for hemostasis. The attachment properties of the hydrogel, as well as the rapid formation of a fibrin clot, ensures that a strong stable fibrin clot is formed shortly after application.

Abstract: There is a need to automatically provide one or more electronic documents to the user. In one example, embodiments comprise, generating a facility visit data object for a user describing one or more facility attributes for one or more facilities associated with a potential visit from the user. One or more electronic documents may be determined to be retrieved based at least in part on the facility visit data object. One or more user interaction electronic document data objects may be generated to enable interaction between the user and the one or more electronic document data objects. One or more modified user interaction electronic document data objects may be received and may be provided to one or more facility computing entities in response to one or more trigger events.

Abstract: There is a need to automatically provide one or more electronic documents to the user. In one example, embodiments comprise, generating a facility visit data object for a user describing one or more facility attributes for one or more facilities associated with a potential visit from the user. One or more electronic documents may be determined to be retrieved based at least in part on the facility visit data object. One or more user interaction electronic document data objects may be generated to enable interaction between the user and the one or more electronic document data objects. One or more modified user interaction electronic document data objects may be received and may be provided to one or more facility computing entities in response to one or more trigger events.

Abstract: The present invention provides for nanostructured fibrin and agarose hydrogels, preferably type VII agarose hydrogels, (NFAH) or non-nanostructured or pre-nanostructured fibrin and agarose hydrogels, preferably type VII agarose hydrogels, (FAH), as hemostatic agents designed for use as an adjunct or primary treatment in moderate intraoperative hemorrhage and in trauma. These hydrogels can be applied topically to the wound either on the skin in a laparatomy or as non-invasive manner in surgical procedures. Its nanostructure technology generates an adhesive stable fibrin clot required for hemostasis. The attachment properties of the hydrogel, as well as the rapid formation of a fibrin clot, ensures that a strong stable fibrin clot is formed shortly after application.

Abstract: An improved clinical trial patient burden calculating system includes a data analyzer to calculate scores and weights for patient burden components, a plurality of data calculators to calculate a respective plurality of sub patient burden indexes based on the patient burden component scores and weights, and an aggregator to calculate a procedure-level patient burden index based on aggregation of the sub patient burden indexes. An improved method for calculating clinical trial patient burden is also described and claimed.