Abstract: Sub-tables are indexed to implement performant access requests. Sub-tables may be created in a database table. Items may be stored in the table according to an indexing scheme that co-locates items in a same sub-table in an index. Access requests for items in a sub-table may be performed by applying the indexing scheme to locate the items in the sub-table from the index.

Abstract: Aspects of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for detecting prejudice bias in machine-learning models and/or data sets used in training, testing, and/or validating the models. In accordance various aspects, a method is provided comprising: receiving a data set used for training, testing, and/or validating a model that comprises data instances; generating, using a classification model, a prediction of applicability for each sub-category of a plurality of sub-categories for each bias category of a plurality of bias categories for each data instance; determining that a particular sub-category for a particular bias category is applicable to a proportion of the data set, wherein predictions of applicability for the particular sub-category generated for the proportion of the data set satisfies a threshold; and determining, based on the proportion, that the data set has a prejudice bias with respect to the particular bias category.

Abstract: Aspects of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for detecting prejudice bias in machine-learning models and/or data sets used in training, testing, and/or validating the models. In accordance various aspects, a method is provided comprising: receiving a data set used for training, testing, and/or validating a model that comprises data instances; generating, using a classification model, a prediction of applicability for each sub-category of a plurality of sub-categories for each bias category of a plurality of bias categories for each data instance; determining that a particular sub-category for a particular bias category is applicable to a proportion of the data set, wherein predictions of applicability for the particular sub-category generated for the proportion of the data set satisfies a threshold; and determining, based on the proportion, that the data set has a prejudice bias with respect to the particular bias category.

Abstract: A method for diagnosing an operating status of a fuel cell system having a fuel cell and a system for operating media management, includes creating an operating model (M) of the fuel cell, including an electrochemical model (ecM) and a physical model (pM) coupled thereto. By the electrochemical model (ecM), an electrical operating power (P) of the fuel cell is determinable as a function of an electrical operating current (J) and thermodynamic operating parameters (?). By the physical model (pM), a time-dependent spatial distribution of the thermodynamic operating parameters (?) is determinable. The method further includes: detecting the electrical operating current (J) of the fuel cell and status variables (?) of operating media of the fuel cell; and determining the electrical operating power of the fuel cell by the operating model (M) based on the detected electrical operating current (J) and the detected status variables (?) of the operating media.

Abstract: The present invention relates to mannanase variants. The present invention also relates to polynucleotides encoding the variants; nucleic acid constructs, vectors, and host cells comprising the polynucleotides; and methods of using the variants.

Abstract: The present invention relates to alpha-amylase variants. The present invention also relates to polynucleotides encoding the variants; nucleic acid constructs, vectors, and host cells comprising the polynucleotides; and methods of using the variants.

Abstract: An example storage medium stores instructions that, when executed, cause a processor of a computing device to receive an indication associated with a first virtual machine, the first virtual machine containing a first application, the indication indicating that a first operation in the first virtual machine is to use a second application; receive information associated with a second virtual machine, the second virtual machine created in response to the first operation and containing the second application; store information describing a chain of virtual machines, the chain of virtual machines including the first and second virtual machines, the stored information including a relationship between the first virtual machine and the second virtual machine, based on the received indication and the received information; and in response to an identification of malware in the chain of virtual machines, identify a particular virtual machine in the chain of virtual machines that is in a kill chain of the malware based

Abstract: The present invention relates to mannanase variants. The present invention also relates to polynucleotides encoding the variants; nucleic acid constructs, vectors, and host cells comprising the polynucleotides; and methods of using the variants.

Abstract: The present invention relates to alpha-amylase variants. The present invention also relates to polynucleotides encoding the variants; nucleic acid constructs, vectors, and host cells comprising the polynucleotides; and methods of using the variants.

Abstract: A computing device comprises a memory to store a first untrusted file and a second untrusted file; and a processor to scan a file system operation executing on the computing device; create an association between the first untrusted file and the second untrusted file based on the scanning; execute the first untrusted file together with the associated second untrusted file in a micro virtual machine (VM); and identify a malicious behavior of the executed first untrusted file interacting with the associated second untrusted file in the micro VM.

Abstract: The present invention relates to mannanase variants. The present invention also relates to polynucleotides encoding the variants; nucleic acid constructs, vectors, and host cells comprising the polynucleotides; and methods of using the variants.

Abstract: The present invention relates to alpha-amylase variants. The present invention also relates to polynucleotides encoding the variants; nucleic acid constructs, vectors, and host cells comprising the polynucleotides; and methods of using the variants.

Abstract: The present invention relates to alpha-amylase variants. The present invention also relates to polynucleotides encoding the variants; nucleic acid constructs, vectors, and host cells comprising the polynucleotides; and methods of using the variants.

Abstract: The present invention relates to alpha-amylase variants comprising a substitution at a position corresponding to position 188 and at least one further substitution at a position corresponding to position 242 or 279 or 275 of SEQ ID NO: 1, in particular one or more combinations of substitutions selected from the group consisting of E188P+S242Y, E188P+S242F, E188P+S242H, E188P+S242W, E188P+S242P, E188P+S242I, E188P+S242T, E188P+S242L, E188P+K279W, E188P+K279Y, E188P+K279F, E188P+K279H, E188P+K279I, E188P+K279L, E188P+K279D, E188P+K279M, E188P+K279S, E188P+K279T E188P+K279N, E188P+K279Q, E188P+K279V, E188P+K279A, E188P+N275F, E188P+N275Y, E188P+N275W, and E188P+N275H, wherein the variant has at least 60%, at least 65%, at least 70%, at least 75%, at least 80%, at least 85%, at least 90%, at least 95%, at least 96%, at least 97%, at least 98%, or at least 99%, but less than 100% sequence identity to a parent alpha amylase selected from the group consisting of: SEQ ID NO: 1, SEQ ID NO: 2, SEQ ID NO: 3, SEQ ID NO:

Abstract: Aspects of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for detecting prejudice bias in machine-learning models and/or data sets used in training, testing, and/or validating the models. In accordance various aspects, a method is provided comprising: receiving a data set used for training, testing, and/or validating a model that comprises data instances; generating, using a classification model, a prediction of applicability for each sub-category of a plurality of sub-categories for each bias category of a plurality of bias categories for each data instance; determining that a particular sub-category for a particular bias category is applicable to a proportion of the data set, wherein predictions of applicability for the particular sub-category generated for the proportion of the data set satisfies a threshold; and determining, based on the proportion, that the data set has a prejudice bias with respect to the particular bias category.

Abstract: A data center failure management system and method in a Software Defined Networking (SDN) deployment. In one embodiment, an SDN controller associated with the data center is configured to learn new flows entering the data center and determine which flows require flow stickiness. Responsive to the determination, the SDN controller generates commands to one or more switching nodes and/or one or more border gateway nodes to redirect the sticky flows arriving at the switching nodes via ECMP routes from the gateway nodes or avoid the ECMP routes by the gateway nodes in order to overcome certain failure conditions encountered in the data center, an external network, or both.

Abstract: The present invention relates to glucoamylase variants, polynucleotides encoding the variants, methods of producing the variants, and methods of using the variants. Also described are the use of glucoamylases of the invention for starch conversion to produce fermentation products, such as ethanol, and syrups, such as glucose. The invention also relates to a composition comprising a glucoamylase variant of the invention.

Abstract: A data center failure management system and method in a Software Defined Networking (SDN) deployment. In one embodiment, an SDN controller associated with the data center is configured to learn new flows entering the data center and determine which flows require flow stickiness. Responsive to the determination, the SDN controller generates commands to one or more switching nodes and/or one or more border gateway nodes to redirect the sticky flows arriving at the switching nodes via ECMP routes from the gateway nodes or avoid the ECMP routes by the gateway nodes in order to overcome certain failure conditions encountered in the data center, an external network, or both.

Abstract: The present invention relates to alpha-amylase variants comprising a substitution at a position corresponding to position 188 and at least one further substitution at a position corresponding to position 242 or 279 or 275 of SEQ ID NO: 1, in particular one or more combinations of substitutions selected from the group consisting of E188P+S242Y, E188P+S242F, E188P+S242H, E188P+S242W, E188P+S242P, E188P+S242I, E188P+S242T, E188P+S242L, E188P+K279W, E188P+K279Y, E188P+K279F, E188P+K279H, E188P+K279I, E188P+K279L, E188P+K279D, E188P+K279M, E188P+K279S, E188P+K279T E188P+K279N, E188P+K279Q, E188P+K279V, E188P+K279A, E188P+N275F, E188P+N275Y, E188P+N275W, and E188P+N275H, wherein the variant has at least 60%, at least 65%, at least 70%, at least 75%, at least 80%, at least 85%, at least 90%, at least 95%, at least 96%, at least 97%, at least 98%, or at least 99%, but less than 100% sequence identity to a parent alpha amylase selected from the group consisting of: SEQ ID NO: 1, SEQ ID NO: 2, SEQ ID NO: 3, SEQ ID NO:

Abstract: A system for document parsing includes an interface and a processor. The interface is configured to receive an image. The processor is configured to determine text boxes. Determining text boxes uses multiple zoom levels of the image. The processor is further configured to determine labels from the strings and provide the labels.