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 method for managing a memory associated with PCIe SSD including: generating memory pools of equal size from a predefined size of contiguous physical memory, each of the memory pools manages a memory request of different size and is associated with a respective predefined size of memory request; dividing each of the memory pools into first set of memory pages, each having a size equal to maximum size among the predefined size of the memory request associated with the respective memory pool; dividing each of the first set of memory pages into second set of memory pages, each having a size equal to the predefined size of the memory request associated with respective memory pool; and managing the contiguous physical memory by allocating a memory page from the second set of memory pages fora memory request corresponding to the size of the second set of memory pages.

Abstract: The present invention relates to a method for facilitating a human-machine conversation for responding to a user query received from a user. The method includes determining at least one of a category and a context of the user query and implementing a first model and a second model for responding to the user query. The second model is triggered when the first model is unable to respond to the user query. The method further includes configuring one or more crawlers for accessing corresponding one or more databases of a plurality of databases for retrieving the relevant information and generating a second model. The method also includes enabling the second model to present the relevant information to the user based on the second model score. The second model updates the first model with the relevant information and its corresponding second model score.

Abstract: Disclosed herein are cellulase variants, or active fragments thereof, and polynucleotides encoding same, where the cellulase variants, or active fragments thereof, have endoglucanase activity. Also disclosed herein are compositions comprising the cellulase variants, or active fragments thereof; vectors and/or host cells comprising the polynucleotides encoding the cellulase variants, or active fragments thereof; and methods for making and/or using the cellulase variants, or active fragments thereof and/or compositions containing same; where the cellulase variants, or active fragments thereof, have endoglucanase activity.

Abstract: Reinforcement learning is coupled to a deep generative model based on a three-dimensional scaffold model to generate drug candidates targeting a particular protein, building up atom or functional groups from a starting core scaffold. A reward function can use parallel graph neural network models and take the particular protein into account when calculating reward based on criteria such as binding, synthetic accessibility, and the like. In an agent-critic reinforcement learning model, the agent learns to build molecules in three-dimensional space while optimizing the criteria.

Abstract: The present disclosure relates to a ready-to-use or a ready to administer parenteral dosage form of oxytocin or a pharmaceutically acceptable salt thereof comprising a ready-to-infuse, stable aqueous solution of oxytocin or a pharmaceutically acceptable salt thereof. The solution can be administered to a patient in need thereof without manipulations in terms of its concentration and is stable for a prolonged period of time.

Abstract: Temporary firmware is provided as cloud services. Different temporary firmware containers are downloaded via a communications network. A light-weight operating system launches and executes the temporary firmware containers during a boot operation, POST operation, or other scheme. The temporary firmware containers thus detect and perhaps resolve POST errors. The light-weight operating system may also download a full-service/resource operating system. A second or subsequent boot operation may be performed, but control is ceded to the full-service/resource operating system. Multiple firmware tenants may thus be temporarily downloaded to a bare metal machine to support POST error detection activities. Advanced OS serviceability, diagnostics, and other containerized firmware may thus be quickly and simply launched without requiring the excessive time and difficulties of using the full-service/resource operating system.

Abstract: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support application portfolio management. Input data may be received that is associated with a set of applications. The input data may indicate, for each application of the set of applications, a name of the application and a description of the application. For an application of the set of applications, a functional score, a cost, and a technical score may be determined based on the name of the application, the description of the application, or a combination thereof. A disposition recommendation for the application may be determined based on the functional score, the cost, and the technical score. In some implementation, an indication of the disposition recommendation of the application may be output via a graphical user interface.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for system contextualization. For example, a method can include obtaining information pertaining to (i) parts of a manufacturing plant and (ii) steps of a process executing on the manufacturing plant; generating one or more virtual representations associated with each of the parts and the steps of the process; receiving a query from a user, the query being in conformation with a format of a hierarchical template model; and generating a response to the query based on the one or more virtual representations of the manufacturing plant.

Abstract: The present invention relates to a tablet comprising Afatinib or a pharmaceutically acceptable salt thereof, wherein the tablet is obtained by direct compression. The present invention further relates to a process for manufacturing a tablet of the invention as well as the use of the tablet of the invention.

Abstract: The techniques disclosed herein improve existing systems by rendering a first user interface (UI) on a device of a member in a defined group, including messages being communicated between the defined group of users of the communication session. A selection of a message set including a subset of the messages of the defined group is received for corresponding with a non-member user who is not a member of the defined group. The selected message set is delivered to the non-member user. A second UI is rendered including the selected message set and subsequent messages exchanged between the non-member user and a subset of the users in the defined group directed to the selected message set. Full access is not provided to other subsequent messages in the defined group not directed to the selected message set. Subsequent messages exchanged between the non-member user and the defined group are rendered. The subsequent messages are rendered in context of messages prior to the selected message.

Abstract: According to the present invention, there is provided a non-aqueous cosmetic composition comprising: (A) 15-85% by weight C15-19 alkane; (B) 10-85% by weight C9-13 alkane; (C) One or both of (i) 1-10% by weight isoamyl cocoate, or; (ii) 1-25% by weight cetyl ricinoleate, and; (D) an active, wherein the weight ratio of the active to the rest of the composition is in the range 0.02:100 to 15:100, and the active is selected from: (i) extract of Bidens pilosa; (ii) cyclolinopeptides; (iii) senkyunolides, (iv) sclareolide, or; (v) unsaponifiable fraction of vegetable oil.

Abstract: The present disclosure relates to managing services by a managed service provider (MSP) in a cloud based infrastructure. A control plane of the MSP is established in a first tenancy, and a first access plane of the MSP is established in a second tenancy of a cloud environment. The control plane is configured to manage a plurality of services offered by the MSP to a first host machine included in the second tenancy. A first request is transmitted from the control plane to the first access plane, where the first request is forwarded by the first access plane to the first host machine, and corresponds to a service utilized by the first host machine and managed by the control plane of the MSP. In response to the first request being validated, a first state of the first host machine is modified in the second tenancy based on the first request.

Abstract: The techniques disclosed herein enable systems to store file system metadata on append-only storage devices by the introduction of a metadata layout and relative references. To achieve this, a system analyzes a file metadata structure to select an approach to storing the metadata structure on the storage device. If the metadata structure is above a threshold size, it is separated into layers that are then appended to the storage device from lowest to highest. An offset is retrieved for appended layers and provided to upper-level layers that refer to them until the full structure is stored. For storing smaller pieces of metadata that refer to each other, the system configures upper-level nodes with relative references that express the location of metadata relative to the node. This enables atomic write operations for smaller metadata structures and/or portions of larger structures.

Abstract: The techniques disclosed herein enable systems to efficiently interface with zoned namespace (ZNS) storage devices through a specialized management entity. To achieve this, the management entity receives write requests from a file system containing data intended for storage at the ZNS device. In response, the management entity selects a zone from the ZNS device to write the file data to. Accordingly, the file data is written by appending the file data to the zone at a location indicated by a write pointer. When the write operation is completed, the offset of the file data within the zone is observed and recorded by the file system in file metadata. In contrast to typical systems which allocate locations at the storage device prior to writing, appending file data and then recording the location enables improved efficiency in file system operations. Namely, that write operations can be issued to the ZNS device non-serially.

Abstract: A swirler assembly for a combustor includes at least one swirler including a plurality of swirl vanes arrayed about an axis of the swirler. The plurality of swirl vanes includes a first ring of first sub-vanes and a second ring of second sub-vanes, the first ring of first sub-vanes and the second ring of second sub-vanes being separated by a gap therebetween.

Abstract: A method may include presenting content of an electronic document on a mobile computing device within a mobile version of a computing application; classifying, using a set of machine learning models, by the mobile computing device, the content into a plurality of components; after the classifying, highlighting the plurality of components within the mobile version of the computing application; receiving a user input selecting a component of the plurality of components; and adding, by the mobile computing device, the component to a component data store with a type of the component, the type of the component based on output of the set of machine learning models.

Abstract: A method for managing a memory associated with PCIe SSD including: generating memory pools of equal size from a predefined size of contiguous physical memory, each of the memory pools manages a memory request of different size and is associated with a respective predefined size of memory request; dividing each of the memory pools into first set of memory pages, each having a size equal to maximum size among the predefined size of the memory request associated with the respective memory pool; dividing each of the first set of memory pages into second set of memory pages, each having a size equal to the predefined size of the memory request associated with respective memory pool; and managing the contiguous physical memory by allocating a memory page from the second set of memory pages fora memory request corresponding to the size of the second set of memory pages.

Abstract: An illustrative computing system for an intelligent web service verification and validation system processes base input to identify a web service for testing. The intelligent web service verification and validation system processes user defined functional inputs, expected outputs, and assertions with a machine learning engine to provide functional inputs, expected outputs, and assertions based on provided input. The intelligent web service verification and validation system generates a test case pattern, such as a minimally sized test case pattern for regression testing. The intelligent web service verification and validation system executes testing of the service based on the test case pattern and logs test data in a data repository. The intelligent web service verification and validation system analyzes validation and test information, including inputs, outputs, and assertions, using a machine learning algorithm to improve future input and test case generation and testing procedures for the web service.

Abstract: Systems and methods for anticipating shutdown alarms for a boiler system by way of one or more machine learning (ML) or artificial intelligence (AI) models are disclosed herein. In an example embodiment, a method for anticipating shutdown alarms with respect to a boiler by way of a ML model includes receiving and storing, at one or more storage devices, a plurality of types of boiler-related data that are received at least indirectly from a plurality of internet of things (IoT) devices. The method also includes preprocessing and feature engineering the plurality of types of boiler-related data to arrive at a training data set, training the ML model, and deploying the trained model. The method further includes receiving additional boiler-related data concerning the boiler and, by way of the model, determining an alarm prediction concerning an anticipated alarm, and taking at least one action based at least upon the prediction.