Abstract: Disclosed herein is a material for use in sorbent-based dialysis, the material comprising: acidic and/or neutral cation exchange particles; alkaline anion exchange particles; and one or more of an alkali metal carbonate, a water insoluble alkaline earth metal carbonate, and a water insoluble polymeric ammonium carbonate. Also disclosed herein are uses of said material and its preparation.

Abstract: An example system for parsing and transforming input data that includes processing circuitry and memory, the memory configured to store the input data. The processing circuitry is configured to determine a first delimiter in the input data. The processing circuitry is configured to determine a plurality of second delimiter hypotheses and parse the input data according to the first delimiter and the plurality of second delimiter hypotheses to generate a plurality of tables that are each associated with a respective one of the plurality of second delimiter hypotheses. The processing circuitry is configured to determine a respective consistency score for each of the plurality of tables and select a table from among the plurality of tables based on the respective consistency score associated with the table. The processing circuitry is configured to format the input data based on the selected table to generate formatted data and output the formatted data.

Abstract: Various embodiments of the present disclosure provide machine learning techniques for transforming disparate, third-party datasets to canonical representations. The techniques include generating, using a machine learning prediction model, a canonical representation for an input dataset. The machine learning prediction model is previously trained using permutative input embeddings for a training dataset based on canonical data entity features, such that each permutative input embedding corresponds to a different sequence of the canonical data entity features. The permutative input embeddings are leveraged to generate a latent representation for the training dataset. The latent representation is combined with a canonical data map to generate an alignment vector, which is refined to generate an output vector for the input dataset. The machine learning prediction model is trained using a model loss generated based on a comparison of the output vector with a corresponding labeled vector.

Abstract: Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for disambiguating data fields mapped to a plurality of data tables according to a common data model by generating disambiguation embeddings based on a matrix representation of the common data model and one or more logical data type weights, generating a plurality of input embedding vectors for one or more prediction inputs based on the disambiguation embeddings, generating a plurality of prediction vectors based on the plurality of input embedding vectors, and assigning one or more select data fields to respective one or more candidate data tables based on the plurality of prediction vectors.

Abstract: Forecasting solutions including customization of raw data using uncertainty coefficient and using ensemble neural network architecture. The raw data is customized by cleaning and augmenting to obtain a processed dataset that is non-discreet and continuous, and; the ensemble neural network architecture is customized to include plurality of dependent and independent features to obtain ensembled weights from ensemble recurrent neural network (RNN) type architecture, a one versus rest ensemble RNN architecture and a forest of ensemble, to obtain an appropriate forecasting model that includes dynamically adaptive weights from ground truth along with the ensembled weights to create a final weighted output such that the final weighted output/forecast result has more accuracy and reduced false positives. The present invention allows for feedback mechanism from disruptive forecasting results if any from query module to go back to training module that enhances the accuracy of the next result without re-training.

Abstract: A system and method for classification of spend data wherein the system comprises a user computer system, a processing unit, a communication interface, a first input receiving component, a second input receiving component, and a spend classification module further comprising a sentence tokenizer, a word tokenizer, a co-reference tagger, at least one language dictionary, and at least one standard taxonomy and/or custom taxonomy, a keyword sense tagger, and a sense scorer, such that the sense scorer further includes a category normalizer matrix, a category summarizer matrix and a heuristic learning matrix; and wherein the method comprises the steps of receiving a dataset of spend data from the user, transmitting the dataset to the spend data classification module, processing of the dataset by the spend data classification module, receiving a query term from the user, mapping the query term, and displaying the data so processed to the user.

Abstract: The current invention relates to a peritoneal dialysis filter device, which comprises a housing comprising a first port and a second port, and a hollow fibre membrane formed from hollow hydrophilic fibres within the housing. When in use, a dialysate from a subject enters the filter device through the first port and exits via the second port in an outflow direction, and a regenerated dialysate from a sorbent system enters the filter device through the second port and exits via the first port in an inflow direction. Also disclosed herein is a peritoneal dialysis system comprising said filter device, a method for controlling dialysate flow in a peritoneal dialysis system, and a haemodialysis device.

Abstract: Methods of preventing or treating elevated pulmonary vascular pressure or exercise-induced pulmonary hemorrhage in mammals are provided, the methods comprise administering compositions comprising type V phosphodiesterase inhibitors and an organic base (e.g., meglumine) to the mammal. Compositions, kits and methods of making type V phosphodiesterase inhibitor are also provided. In one embodiment, the composition comprises E-4021, which is sodium 1-[6-chloro-4-(3,4-methylenedioxybenzyl)-aminoquinazolin-2-yl]piperidine-4-carboxylate sesquihydrate and meglumine.

Abstract: There is a need for solutions that perform preprocessing and/or searching of documents with semantic intelligence. This need can be addressed by, for example, by performing pre-processing of each document of a plurality of documents to generate an indexed representation for the document by identifying sentences in the document; determining, for each n-gram of one or more n-grams associated with the document, one or more n-gram semantic scores based semantic proximity indicators for the n-gram; determining, based at least in part on each one or more n-gram semantic scores, one or more sentence semantic labels for each sentence in the document; and determining the indexed representation for the document based at least in part on the one or more sentence semantic labels for the document; performing the search query based each indexed representation associated with a document; and transmitting the result to a computing device associated with the search query.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for searching electronic documents. An example method includes receiving a set of electronic documents, wherein each electronic document in the set of electronic documents comprises a set of sentences. The example method further includes generating a contextual index that associates each sentence with one or more of contexts. The example method further includes receiving an electronic search query comprising a plurality of search terms. Subsequently, the example method includes generating a contextual search ranking for a subset of the set of electronic documents based on the search terms and the contextual index.

Abstract: There is a need for solutions that perform preprocessing and/or searching of documents with semantic intelligence. This need can be addressed by, for example, by performing pre-processing of each document of a plurality of documents to generate an indexed representation for the document by identifying sentences in the document; determining, for each n-gram of one or more n-grams associated with the document, one or more n-gram semantic scores based semantic proximity indicators for the n-gram; determining, based at least in part on each one or more n-gram semantic scores, one or more sentence semantic labels for each sentence in the document; and determining the indexed representation for the document based at least in part on the one or more sentence semantic labels for the document; performing the search query based each indexed representation associated with a document; and transmitting the result to a computing device associated with the search query.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for searching electronic documents. An example method includes receiving a set of electronic documents, wherein each electronic document in the set of electronic documents comprises a set of sentences. The example method further includes generating a contextual index that associates each sentence with one or more of contexts. The example method further includes receiving an electronic search query comprising a plurality of search terms. Subsequently, the example method includes generating a contextual search ranking for a subset of the set of electronic documents based on the search terms and the contextual index.

Abstract: The compounds encompassed by Formula I include compounds which are HIV protease inhibitors and other compounds which can be metabolized in vivo to HIV protease inhibitors. The compounds and their pharmaceutically acceptable salts are useful for the prophylaxis or treatment of infection by HIV and the prophylaxis, treatment, or delay in the onset of AIDS. The compounds and their salts can be employed as ingredients in pharmaceutical compositions, optionally in combination with other antivirals, immunomodulators, antibiotics or vaccines.

Abstract: A catalyst for generating hydrogen containing at least one composite metal selected from the group consisting of a composite metal of platinum and nickel and a composite metal of iridium and nickel, the catalyst being used in a decomposition reaction of at least one compound selected from the group consisting of hydrazine and a hydrate thereof; and a method for generating hydrogen, including contacting the catalyst for generating hydrogen with at least one compound selected from the group consisting of hydrazine and a hydrate thereof. Hydrogen can be efficiently generated with improved selectivity in the method for generating hydrogen that utilizes the decomposition reaction of hydrazine.

Abstract: A catalyst for generating hydrogen containing at least one composite metal selected from the group consisting of a composite metal of platinum and nickel and a composite metal of iridium and nickel, the catalyst being used in a decomposition reaction of at least one compound selected from the group consisting of hydrazine and a hydrate thereof; and a method for generating hydrogen, including contacting the catalyst for generating hydrogen with at least one compound selected from the group consisting of hydrazine and a hydrate thereof. Hydrogen can be efficiently generated with improved selectivity in the method for generating hydrogen that utilizes the decomposition reaction of hydrazine.

Abstract: The present invention provides a catalyst for generating hydrogen containing at least one composite metal selected from the group consisting of a composite metal of platinum and nickel and a composite metal of iridium and nickel, the catalyst being used in a decomposition reaction of at least one compound selected from the group consisting of hydrazine and a hydrate thereof; and a method for generating hydrogen, including contacting the catalyst for generating hydrogen with at least one compound selected from the group consisting of hydrazine and a hydrate thereof. According to the invention, hydrogen can be efficiently generated with improved selectivity in the method for generating hydrogen that utilizes the decomposition reaction of hydrazine.

Abstract: The present invention provides a catalyst for generating hydrogen, containing a composite metal of iron and nickel, the catalyst used in a decomposition reaction of at least one compound selected from the group consisting of hydrazine and hydrates thereof; and a method for generating hydrogen, including contacting the catalyst for generating hydrogen with at least one compound selected from the group consisting of hydrazine and hydrates thereof. According to the invention, hydrogen can be efficiently generated with improved selectivity in the method for generating hydrogen that utilizes the decomposition reaction of hydrogen.

Abstract: The compounds encompassed by Formula I include compounds which are HIV protease inhibitors and other compounds which can be metabolized in vivo to HIV protease inhibitors. The compounds and their pharmaceutically acceptable salts are useful for the prophylaxis or treatment of infection by HIV and the prophylaxis, treatment, or delay in the onset of AIDS. The compounds and their salts can be employed as ingredients in pharmaceutical compositions, optionally in combination with other antivirals, immunomodulators, antibiotics or vaccines.