Abstract: A lightweight machine learning model (MLM) microservice is hosted in a cloud computing environment suitable for large-scale data processing. A client system can utilize the MLM service to run a MLM on a dataset in the cloud computing environment. The MLM can be already developed, trained, and tested using any appropriate ML libraries on the client side or the server side. However, no data schema is required to be provided from the client side. Further, neither the MLM nor the dataset needs to be persisted on the server side. When a request to run a MLM is received by the MLM service from a client system, a data schema is inferred from a dataset provided with the MLM. The MLM is run on the dataset utilizing the inferred data schema to generate a prediction which is then returned by the MLM service to the client system.

Abstract: Embodiments disclosed herein concern a device for implantation of a cellular transplant into a target region of a subject. The device includes: a handpiece; a shaft anchored with the handpiece and extending distally therefrom; and a tubular sheath. The shaft includes a proximal end, a distal end opposite the proximal end, a curved portion, and forceps at the distal end thereof. The forceps include a pair of distal tips configured to releasably grasp the cellular transplant. The tubular sheath is movably coupled to and extending distally from the handpiece. The tubular sheath includes a distal opening and a lumen configured to slidably receive the shaft and the forceps therein. In a non-deployed state, the distal tips of the forceps are positioned within the lumen of the tubular sheath, and, in a deployed state, the distal tips of the forceps are positioned partially outside the distal opening of the tubular sheath.

Abstract: The present invention relates to a film comprising greater than or equal to 50 wt % of a combination of a plant protein and starch based upon the total weight of the film at 55% relative humidity and 22° C., wherein the weight ratio of starch to plant protein is in the range 0.5:1 to 30:1, and wherein the plant protein has been pre-treated with an organic acid.

Abstract: A lightweight machine learning model (MLM) microservice is hosted in a cloud computing environment suitable for large-scale data processing. A client system can utilize the MLM service to run a MLM on a dataset in the cloud computing environment. The MLM can be already developed, trained, and tested using any appropriate ML libraries on the client side or the server side. However, no data schema is required to be provided from the client side. Further, neither the MLM nor the dataset needs to be persisted on the server side. When a request to run a MLM is received by the MLM service from a client system, a data schema is inferred from a dataset provided with the MLM. The MLM is run on the dataset utilizing the inferred data schema to generate a prediction which is then returned by the MLM service to the client system.

Abstract: The present disclosure provides an isolated Thiomonas isabelensis (ECOAU001) strain deposited at the Agricultural Research Service Culture Collection under the Accession number NRRL No. B-67995 according to the Budapest Treaty. The disclosed newly discovered bacterial strain is useful in precious metal extraction, production, and amplification. In particular, the present disclosure is directed to a novel microorganism useful to extract, produce and/or amplify precious metals and/or rare earth metals from an environmental substrate that it is cultured in.

Abstract: Systems and methods for content management wherein a client can submit requests to a first API which the forwards the requests to either an IMDB or a gateway to a distributed cluster-computing framework. Requests to the IMDB are serviced and responses from the IMDB are returned to the client. Requests that are forwarded to the gateway are first modified for the distributed cluster-computing framework, and are then parsed by the gateway and used to instantiate processors that generate corresponding requests to the distributed cluster-computing framework. Responsive data from the distributed cluster-computing framework is used to generate responses to the client requests that are forwarded to the first API which modifies them to appear as if they were generated by the IMDB. These modified responses are returned by the first API to the client.

Abstract: Systems and methods for content management wherein a client can submit requests to a first API which the forwards the requests to either an IMDB or a gateway to a distributed cluster-computing framework. Requests to the IMDB are serviced and responses from the IMDB are returned to the client. Requests that are forwarded to the gateway are first modified for the distributed cluster-computing framework, and are then parsed by the gateway and used to instantiate processors that generate corresponding requests to the distributed cluster-computing framework. Responsive data from the distributed cluster-computing framework is used to generate responses to the client requests that are forwarded to the first API which modifies them to appear as if they were generated by the IMDB. These modified responses are returned by the first API to the client.

Abstract: The present disclosure relates generally to an apparatus and methods for microorganism isolation, characterization and identification based on oxygen, pressure, culture media gradients and metabolites. In each embodiment, the apparatus of the disclosure is particularly useful for the purpose of novel isolation of never before cultured species of microorganisms and their by-products.

Abstract: Cross-tabulation operation is performed within a columnar database management system. The columnar database management system receives a request to perform a cross-tabulation operation on a set of database tables. The columnar database management system determines values of cross-tabulation operation for each row of the result. The columnar database management system determines a domain for each value of the row dimension corresponding to a row combination. The columnar database management system determines an intersection set of the domains corresponding to values of the row dimensions for the row combination. The columnar database management system determines a value for the result column for the row combination as an aggregate value based on the records of the intersection set.

Abstract: A method and an apparatus for forming packages including plasters enclosed between two opposite flexible sheets having their edges joined by means of a thermally-activated adhesive.

Abstract: The present disclosure relates generally to an apparatus and methods for microorganism isolation, characterization and identification based on oxygen, pressure, culture media gradients and metabolites. In each embodiment, the apparatus of the disclosure is particularly useful for the purpose of novel isolation of never before cultured species of microorganisms and their by-products.

Abstract: Venn diagrams are computed for a given plurality of input sets. The process of computing the Venn diagrams is executed on columnar database systems for efficient execution. The computation of various subsets of the Venn diagrams is performed by determining subsets of various combinations of the input sets and computing set differences of the intersection sets. The process orders the execution of various steps of computing the subsets for the Venn diagram in an order that reduces the number of times an input set is loaded. Information describing various subsets of a Venn diagram is used to render the Venn diagram for display, for example, on a client device.

Abstract: The present invention relates to plant-based microcapsules for the efficient encapsulation and retention of water-soluble ingredients, as well as the efficient co-encapsulation of water-soluble and water-insoluble ingredients. The present invention also relates to compositions comprising the microcapsules, a method of making the microcapsules and compositions, and to uses of the microcapsules and compositions.

Abstract: A method and composition are provided for breaking down a contaminant. A method for breaking down a contaminant in animal drinking water or an organic chemical agent includes providing a plurality of sporulated microbes. A composition for breaking down a contaminant in animal drinking water or an organic chemical agent includes a plurality of sporulated microbes.

Abstract: The present invention relates to a method for preparing a plant-based protein hydrogel slurry, and to a method for preparing a plant-based structured material (e.g. a film, a casting, a moulding etc.) from the plant-based protein hydrogel slurry.

Abstract: Venn diagrams are computed for a given plurality of input sets. The process of computing the Venn diagrams is executed on columnar database systems for efficient execution. The computation of various subsets of the Venn diagrams is performed by determining subsets of various combinations of the input sets and computing set differences of the intersection sets. The process orders the execution of various steps of computing the subsets for the Venn diagram in an order that reduces the number of times an input set is loaded. Information describing various subsets of a Venn diagram is used to render the Venn diagram for display, for example, on a client device.

Abstract: Systems and methods for content management wherein a client can submit requests to a first API which the forwards the requests to either an IMDB or a gateway to a distributed cluster-computing framework. Requests to the IMDB are serviced and responses from the IMDB are returned to the client. Requests that are forwarded to the gateway are first modified for the distributed cluster-computing framework, and are then parsed by the gateway and used to instantiate processors that generate corresponding requests to the distributed cluster-computing framework. Responsive data from the distributed cluster-computing framework is used to generate responses to the client requests that are forwarded to the first API which modifies them to appear as if they were generated by the IMDB. These modified responses are returned by the first API to the client.

Abstract: Systems and methods for content management wherein a client can submit requests to a first API which the forwards the requests to either an IMDB or a gateway to a distributed cluster-computing framework. Requests to the IMDB are serviced and responses from the IMDB are returned to the client. Requests that are forwarded to the gateway are first modified for the distributed cluster-computing framework, and are then parsed by the gateway and used to instantiate processors that generate corresponding requests to the distributed cluster-computing framework. Responsive data from the distributed cluster-computing framework is used to generate responses to the client requests that are forwarded to the first API which modifies them to appear as if they were generated by the IMDB. These modified responses are returned by the first API to the client.

Abstract: The present disclosure relates generally to an apparatus and methods for microorganism isolation, characterization and identification based on oxygen, pressure, culture media gradients and metabolites. In each embodiment, the apparatus of the disclosure is particularly useful for the purpose of novel isolation of never before cultured species of microorganisms and their by-products.

Abstract: Data mining operations are performed within a columnar database management system. The columnar database management system stores input sets of data for a data mining operation. An input set of data is represented as a column of data in the columnar database management system. The columnar database management system stores instructions to perform one or more data mining operations for processing the input sets of data. The columnar database management system receives requests for performing data mining operations and performs the processing of the data mining operation within the columnar database management system. As a result, the processing of data mining operations is performed without requiring multiple data transfers between an application implementing the data mining operations and the columnar database management system.