Abstract: A computing system includes computer-readable media to store instructions and processor(s) to execute the instructions to perform operations including: receiving a request for generation of a report having a plurality of data elements; identifying two or more different datasets that collectively contain the plurality of data elements; automatically generating one or more join configurations for combining the two or more different datasets based on a prioritization of data elements which define a join key for the one or more join configurations; executing the one or more join configurations to generate a combined dataset from the two or more different datasets; assigning unique identifier(s) to a portion of the combined dataset and expanding the combined dataset; performing an aggregation operation associated with the portion of the combined dataset by referencing the unique identifier(s); and generating the report based on the combined dataset and the aggregation operation.

Abstract: Methods, systems, and computer-readable media for compliance lifecycle management for cloud-based resources are disclosed. A selection is received of a compliance pack from a plurality of compliance packs. The compliance pack comprises a plurality of rules associated with policy compliance. The compliance pack is selected from the plurality of compliance packs via a user interface. The selection is associated with one or more resources hosted in one or more provider networks. An evaluation is performed of compliance of the one or more resources with respect to the plurality of rules of the compliance pack. Data describing the evaluation is generated and displayed. The data comprises an aggregate compliance status for at least one of the one or more resources, and the aggregate compliance status represents an aggregate compliance with the plurality of rules.

Abstract: The present disclosure provides mesoporous catalyst compounds and compositions having one or more group 13 atoms. The present disclosure further relates to processes for converting hydrocarbon feedstocks to small olefins. In one aspect, a catalyst compound includes a zeolite having a structural type selected from MFI, MSE, MTW, Theta-One (TON), Ferrierite (FER), AFI, AFS, ATO, BEA, BEC, BOG, BPH, CAN, CON, EMT, EON, EZT, FAU, GME, GON, IFR, ISV, ITN, IWR, IWW, LTL, MAZ, MEI, MOR, MOZ, OFF, OKO, OSI, SAF, SAO, SEW, SFE, SFO, SSF, SSY, and USI, or a combination thereof, the zeolite having a silicon to aluminum molar ratio (Si/Al ratio) of from about 5 to about 40. In one aspect, a catalyst composition includes the catalyst compound and one or more group 13 metal.

Abstract: A method can include training a machine learning algorithm to determine a duration of a new work order, based on (a) historical input data for the machine learning algorithm and (b) historical output data for the machine learning algorithm. The method can also include determining one or more work orders for a service provider comprising: determining, by the machine learning algorithm, as trained, one or more durations of the one or more work orders; and determining an optimized service route for the one or more work orders. The method can further include updating a work schedule for the service provider based on the optimized service route. Other embodiments are also provided.

Abstract: A heterogeneous database system allows users to interact with multiple databases. The heterogeneous database system uses a middleware that receives client request and processes them using the databases supported in the backend. The heterogeneous database system presents a uniform interface, for example, APIs to access multiple database that may have different architectures or may be provided by different vendors. The databases connected to the middleware in the backend may include relational databases, document databases, key-value stores, and so on. The middleware stores transaction logs that represent transactions across the multiple databases supported. The heterogeneous database system provides scalability as well as backward compatibility by supporting legacy database systems as backend databases while allowing newer database architectures to be added.

Abstract: The disclosure relates to system and method for managing a plurality of applications. The method includes receiving a first input for customization of a master map associated with the plurality of applications. The master map includes a plurality of components and a set of control settings for each of the plurality of components. The method further includes modifying, in the master map, a status of a first control setting for a first component based on the first input; updating each of the plurality of applications based on the modified status of the first control setting in the master map; and modifying a configuration code associated with the each of the plurality of applications, based the update in each of the plurality of applications.

Abstract: This invention provides Colosseum, a Byzantine fault tolerant scalable method to achieve consensus, designed to maintain distributed ledgers over a permissioned peer-to-peer blockchain network that follows a curative approach towards achieving consensus. It assumes that adversaries are not always present in the system but efficiently detects malicious behaviour and alert the network. Colosseum follows a knockout tournament like approach over a structured ring network to have agreement on the next set of block proposers. Colosseum proposes a novel two-player game like approach which uses Proof-of-Win to eliminate nodes in each round of a tournament resulting in the selection of a subset of nodes after ? (?<log 2 N, where N is the number of nodes in the network) number of rounds. It allows multiple block proposers for a tournament and tries to commit a maximum of their blocks using Converging Directed Acyclic Graph (CDAG) as the ledger to increase the throughput of the transactions.

Abstract: Systems, devices, computer-implemented methods, and tangible non-transitory computer-readable media for generating reports from one or more databases that store disparate datasets are provided. Specifically, the proposed systems enable the intelligent generation of reports from multiple datasets by automatically determining a proposed set of join configurations for combination of the multiple datasets. The proposed set of join configurations can be executed as proposed and/or can be edited or customized by the user to generate reports from the multiple datasets. Thus, the proposed systems and methods can provide intuitive and user-friendly tools for generating data reports that accurately synthesize and summarize data contained in multiple different datasets.

Abstract: A turbine engine is provided. The turbine engine defines an axial direction and a radial direction, and includes: a rotor; a stator comprising a carrier; a seal assembly disposed between the rotor and the stator, the seal assembly defining a high-pressure side and a low-pressure side and comprising a plurality of seal segments, the plurality of seal segments including a seal segment having a seal face forming a fluid bearing with the rotor, a lip, and a body, the lip extending from the body along the axial direction of the turbine engine on the high-pressure side and including an outer pressurization surface along the radial direction of the turbine engine; and a seal support assembly, the seal support assembly comprising a spring arrangement extending between the carrier and the first seal segment to counter a pressure on the outer pressurization surface during operation of the turbine engine.

Abstract: Systems, devices, computer-implemented methods, and tangible non-transitory computer-readable media for generating reports from one or more databases that store disparate datasets are provided. Specifically, the proposed systems enable the intelligent generation of reports from multiple datasets by automatically determining a proposed set of join configurations for combination of the multiple datasets. Unique identifiers can be assigned to a portion of the combined dataset and the combined dataset can be expanded for performing an aggregation operation associated with the portion of the combined dataset by referencing the one or more unique identifiers. Reports can be generated based on the combined dataset and the aggregation operation.

Abstract: A method and system for providing profile-based data and visualization access through a semantic domain layer is disclosed. In some embodiments, the method includes receiving a user request to access data. The method further includes determining a user profile from a plurality of user profiles associated with the user. The method further includes extracting a first access level from a first set of access levels associated with the user profile. The method further includes mapping the user profile with a domain object from a plurality of domain objects, based on a second access level from the first set of access levels associated with the domain object. The method further includes selectively rendering at least a portion of the data requested in the user request to the user, in response to mapping the user profile with the domain object.

Abstract: An improved battery pack 100/200 is disclosed, having a plurality of cylindrical cells 102 arranged in parallel disposition in rows 104/204 and columns 106/206 such that positive and negative terminals of any of the cells and the closest surrounding cells are oppositely placed to minimise the overall magnetic field due to the internal current of the cells by the opposite magnetic field of the oppositely placed adjacent cells. The positive and negative terminals at any of or both of upper and lower ends of the cells 102 in a group of adjacently located columns are connected by criss-cross connections 108/208 to provide parallel electric connection of the cells 102 in groups of adjacently located columns 106/206. Criss-cross connections 108/208 pertaining to the terminals of opposite polarity are connected by series connections 110/210 to provide series connection of the sets of cells connected in parallel by the criss-cross connections 108/208.

Abstract: The present disclosure provides mesoporous catalyst compounds and compositions having one or more group 13 atoms. The present disclosure further relates to processes for converting hydrocarbon feedstocks to small olefins. In one aspect, a catalyst compound includes a zeolite having a structural type selected from MFI, MSE, MTW, Theta-One (TON), Ferrierite (FER), AFI, AFS, ATO, BEA, BEC, BOG, BPH, CAN, CON, EMT, EON, EZT, FAU, GME, GON, IFR, ISV, ITN, IWR, IWW, LTL, MAZ, MEI, MOR, MOZ, OFF, OKO, OSI, SAF, SAO, SEW, SFE, SFO, SSF, SSY, and USI, or a combination thereof, the zeolite having a silicon to aluminum molar ratio (Si/Al ratio) of from about 5 to about 40. In one aspect, a catalyst composition includes the catalyst compound and one or more group 13 metal.

Abstract: A computer implemented method creates microservices for an application. A number of processor units clusters programs and data structures for the application using runtime metadata to form groups of the programs and data structures. The runtime metadata is obtained from running the application. The number of processor units creates a design for the microservices for the application using the groups of the programs and the data structures.

Abstract: One embodiment provides a method for recommending model characteristics to be used in developing a target geo-spatial physical model for a target geographic location utilizing historical lineage data corresponding to historical geo-spatial physical models, including: receiving information related to the target geographic location, wherein the information describes geographical and domain features of the target geographic location; identifying, using at least one similarity algorithm, at least one other geographic location that is similar to the target geographic location, wherein the at least one geographic location has at least one corresponding historical geo-spatial physical model; and recommending, using at least one machine-learning model and based upon the at least one other geographic location, initial model characteristics for developing and deploying the target geo-spatial physical model.

Abstract: A building system including one or more storage devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to ingest device information associated with one or more devices within a building; determine a false alarm likelihood within one or more areas within the building based on the device information; cause a graphical model of the building to include an indication of the false alarm likelihood within the one or more areas of the building; and cause a display device of a user device to display the graphical model within a user interface.

Abstract: A building system including one or more storage devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to ingest information comprising at least one of occupancy information or energy usage information associated with a building. The instructions further cause the one or more processors to generate a space usage recommendation based on the information. The instructions further cause the one or more processors to cause a graphical model of the building to include a representation of the information and the space usage recommendation. The instructions further cause the one or more processors to cause a display device of a user device to display the graphical model within a user interface.

Abstract: An example operation includes one or more of identifying, by an archiving server node, a unique archival policy for each of a plurality of blockchain nodes, executing, by the archiving server node, a consensus mechanism to determine at least one block from a plurality of blocks of the plurality of the blockchain nodes to be archived, and running the unique archival policy to archive the at least one block from the plurality of the blocks.

Abstract: A building system including one or more storage devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to ingest information associated with a physical asset of a building, the physical asset being an indoor air quality device. The instructions further cause the one or more processors to cause a graphical model of the building to include a heat map of one of infection risk or particulate concentration overlaid onto a floor of the graphical model based on the information. The instructions further cause the one or more processors to generate a building layout recommendation based on the heat map of the one of the infection risk or the particulate concentration. The instructions further cause the one or more processors to cause a display device of a user device to display the graphical model including the heat map and the building layout recommendation within a user interface.

Abstract: Described herein is a system and method for an append-only block-oriented object storage system. An unstructured storage object is stored in cloud storage. A block is data is received, from a client, to append to the unstructured storage object. A universally unique identifier of the client, and client contextual information regarding the block of data, are received from the client. The client contextual information comprises an identifier of a most recently appended block from the client. When the identifier of the most recently appended block from the client matches a stored identifier associated with the universally unique identifier of the client, the block of data is appended to the unstructured storage object, and the stored identifier associated with the universally unique identifier of the client is updated in accordance with the received client contextual information.