Abstract: An example operation may include one or more of receiving a loan application of a user, extracting a plurality of personal attributes about the user from the loan application, querying a machine learning model via an application programming interface (API) based on the plurality of attributes about the user to identify one or more rules for auto-adjudicating the loan application, determining whether or not to approve the loan application based on the one or more rules identified via the machine learning model, and transmitting notice of the determination to a device associated with the user.

Abstract: The present disclosure relates to a vaccines and related polynucleotides useful in eliciting an immune response to the SARS-CoV-2 virus and related methods of use.

Abstract: An example operation may include one or more of assigning different criteria to a plurality of nodes of a decision tree model, respectively, iteratively executing the decision tree model on a plurality of training data which causes the plurality of training data to be assigned to the plurality of nodes of the decision tree model based on the different criteria assigned to the plurality of nodes, identifying nodes among the plurality of nodes within the decision tree model which have a purity above a predetermined purity threshold, generating a set of rules based on the identified nodes which have the purity above the predetermined purity threshold, and embedding the set of rules within the decision tree model and storing the decision tree model within a storage device.

Abstract: An example operation may include one or more of receiving a loan application of a user, extracting a plurality of personal attributes about the user from the loan application, querying a machine learning model via an application programming interface (API) based on the plurality of attributes about the user to identify one or more rules for auto-adjudicating the loan application, determining whether or not to approve the loan application based on the one or more rules identified via the machine learning model, and transmitting notice of the determination to a device associated with the user.

Abstract: Disclosed is a recombinant polypeptide for facilitating membrane fusion. The recombinant polypeptide having a sequence with at least 80% sequence identity with the ectodomain of p14 fusion-associated small transmembrane (FAST) protein and having a functional myristoylation motif, a transmembrane domain from a FAST protein and a sequence with at least 80% sequence identity with the endodomain of p15 FAST protein. A targeting ligand can be added to the recombinant polypeptide for selective fusion. The recombinant polypeptide can be included in the membrane of a liposome, or the like, to facilitate the delivery of bioactive compounds, such as siRNA, or the recombinant polypeptide can be mixed with a lipid carrier and added to cultured cells to induce cell-cell fusion and heterokaryon formation.

Abstract: Disclosed is a recombinant polypeptide for facilitating membrane fusion. The recombinant polypeptide having a sequence with at least 80% sequence identity with the ectodomain of p14 fusion-associated small transmembrane (FAST) protein and having a functional myristoylation motif, a transmembrane domain from a FAST protein and a sequence with at least 80% sequence identity with the endodomain of p15 FAST protein. A targeting ligand can be added to the recombinant polypeptide for selective fusion. The recombinant polypeptide can be included in the membrane of a liposome, or the like, to facilitate the delivery of bioactive compounds, such as siRNA, or the recombinant polypeptide can be mixed with a lipid carrier and added to cultured cells to induce cell-cell fusion and heterokaryon formation.

Abstract: Provided herein are methods for inhibiting and/or treating a hematological cancer in a subject in need thereof using a myxoma virus that expresses one or more immunomodulatory transgenes, which includes FAST p14.

Abstract: Disclosed are recombinant oncolytic viruses that express one or more reovirus fusion-associated small transmembrane FAST) proteins and uses thereof. The oncolytic activity of the recombinant oncolytic viruses expressing FAST proteins can be used to treat primary and metastatic cancers, especially from breast and colon cancers.

Abstract: Disclosed is a recombinant polypeptide for facilitating membrane fusion. The recombinant polypeptide having a sequence with at least 80% sequence identity with the ectodomain of p14 fusion-associated small transmembrane (FAST) protein and having a functional myristoylation motif, a transmembrane domain from a FAST protein and a sequence with at least 80% sequence identity with the endodomain of p15 FAST protein. A targeting ligand can be added to the recombinant polypeptide for selective fusion. The recombinant polypeptide can be included in the membrane of a liposome, or the like, to facilitate the delivery of bioactive compounds, such as siRNA, or the recombinant polypeptide can be mixed with a lipid carrier and added to cultured cells to induce cell-cell fusion and heterokaryon formation.

Abstract: Disclosed is a recombinant polypeptide for facilitating membrane fusion. The recombinant polypeptide having a sequence with at least 80% sequence identity with the ectodomain of p14 fusion-associated small transmembrane (FAST) protein and having a functional myristoylation motif, a transmembrane domain from a FAST protein and a sequence with at least 80% sequence identity with the endodomain of p15 FAST protein. A targeting ligand can be added to the recombinant polypeptide for selective fusion. The recombinant polypeptide can be included in the membrane of a liposome, or the like, to facilitate the delivery of bioactive compounds, such as siRNA, or the recombinant polypeptide can be mixed with a lipid carrier and added to cultured cells to induce cell-cell fusion and heterokaryon formation.

Abstract: A method of optimizing a drilling tool assembly including inputting well data into an optimization system, the optimization system having an experience data set and an artificial neural network. The method further including comparing the well data to the experience data set and developing an initial drilling tool assembly based on the comparing the well data to the experience data, wherein the drilling tool assembly is developed using the artificial neural network. Additionally, the method including simulating the initial drilling tool assembly in the optimization system and creating result data in the optimization system based on the simulating.

Abstract: Disclosed is a recombinant polypeptide for facilitating membrane fusion. The recombinant polypeptide having a sequence with at least 80% sequence identity with the ectodomain of p14 fusion-associated small transmembrane (FAST) protein and having a functional myristoylation motif, a transmembrane domain from a FAST protein and a sequence with at least 80% sequence identity with the endodomain of p15 FAST protein. A targeting ligand can be added to the recombinant polypeptide for selective fusion. The recombinant polypeptide can be included in the membrane of a liposome, or the like, to facilitate the delivery of bioactive compounds, such as siRNA, or the recombinant polypeptide can be mixed with a lipid carrier and added to cultured cells to induce cell-cell fusion and heterokaryon formation.

Abstract: A method of optimizing a drilling tool assembly including inputting well data into an optimization system, the optimization system having an experience data set and an artificial neural network. The method further including comparing the well data to the experience data set and developing an initial drilling tool assembly based on the comparing the well data to the experience data, wherein the drilling tool assembly is developed using the artificial neural network. Additionally, the method including simulating the initial drilling tool assembly in the optimization system and creating result data in the optimization system based on the simulating.

Abstract: In accordance with the present invention, a family of membrane fusion protein and polynucleotides encoding the proteins have been identified. The proteins and nucleotides are derived from the family Reoviridae. Two membrane fusion proteins have been isolated from reoviruses isolated from poikilothermic hosts: the p14 protein from reptilian reovirus (RRV) isolated from python, and the p16 protein from aquareovirus (AQV) isolated from salmon. The genes encoding these proteins have been cloned and sequenced. Analysis of the amino acid sequences of these proteins show that both lack the typical fusion peptide motif found in other membrane fusion proteins. Expression of these proteins in cells results in cell-cell fusion.

Abstract: A method of optimizing a drilling tool assembly including inputting well data into an optimization system, the optimization system having an experience data set and an artificial neural network. The method further including comparing the well data to the experience data set and developing an initial drilling tool assembly based on the comparing the well data to the experience data, wherein the drilling tool assembly is developed using the artificial neural network. Additionally, the method including simulating the initial drilling tool assembly in the optimization system and creating result data in the optimization system based on the simulating.

Abstract: In accordance with the present invention, a family of membrane fusion protein and polynucleotides encoding the proteins have been identified. The proteins and nucleotides are derived from the family Reoviridae. Two membrane fusion proteins have been isolated from reoviruses isolated from poikilothermic hosts: the p14 protein from reptilian reovirus (RRV) isolated from python, and the p16 protein from aquareovirus (AQV) isolated from salmon. The genes encoding these proteins have been cloned and sequenced. Analysis of the amino acid sequences of these proteins show that both lack the typical fusion peptide motif found in other membrane fusion proteins. Expression of these proteins in cells results in cell-cell fusion.

Abstract: In accordance with the present invention, a family of membrane fusion protein and polynucleotides encoding the proteins have been identified. The proteins and nucleotides are derived from the family Reoviridae. Two membrane fusion proteins have been isolated from reoviruses isolated from poikilothermic hosts: the p14 protein from reptilian reovirus (RRV) isolated from python, and the p16 protein from aquareovirus (AQV) isolated from salmon. The genes encoding these proteins have been cloned and sequenced. Analysis of the amino acid sequences of these proteins show that both lack the typical fusion peptide motif found in other membrane fusion proteins. Expression of these proteins in cells results in cell-cell fusion.

Abstract: In accordance with the present invention, a family of membrane fusion protein and polynucleotides encoding the proteins have been identified. The proteins and nucleotides are derived from the family Reoviridae. Two membrane fusion proteins have been isolated from reoviruses isolated from poikilothermic hosts: the p14 protein from reptilian reovirus (RRV) isolated from python, and the p16 protein from aquareovirus (AQV) isolated from salmon. The genes encoding these proteins have been cloned and sequenced. Analysis of the amino acid sequences of these proteins show that both lack the typical fusion peptide motif found in other membrane fusion proteins. Expression of these proteins in cells results in cell-cell fusion.

Abstract: This invention relates to a frame for mounting a solar panel where a tubular frame member has a generally triangular cross section. The frame member includes a riser element, a span element and a truss element. 5 The frame meets the IEC 61215, Second edition standard for wind and snow loadings without significantly increasing the weight of the solar module compared to conventional frames with an open channel. This invention also relates to an array of solar modules mounted on a structure as well as a method of mounting the frame with a connection channel for slidably accepting an anchor.

Abstract: A method of optimizing a drilling tool assembly including inputting well data into an optimization system, the optimization system having an experience data set and an artificial neural network. The method further including comparing the well data to the experience data set and developing an initial drilling tool assembly based on the comparing the well data to the experience data, wherein the drilling tool assembly is developed using the artificial neural network. Additionally, the method including simulating the initial drilling tool assembly in the optimization system and creating result data in the optimization system based on the simulating.