Abstract: Systems and methods to identify a growth classification/categorization for a geographic area that helps a network provider to solve for what types of planning opportunities are available at various area granularities is disclosed. The system computes values for a set of growth criteria for a geographic area. The growth criteria are related to planning, usability, customer experience, sales, population, and so on. Based on the growth-criteria values, the system identifies a classification/categorization for the area. For example, the system classifies an area as an invest area (e.g., requiring engineering action), a grow area (e.g., requiring sales action/being sales ready), a defend area (e.g., requiring engineering and sales actions to continue current trend), or a fix area (e.g., likely requiring both engineering and sales actions to improve current trend). Based on the area classification, the system can then provide actionable insights to drive improvement in network coverage and customer experience.

Abstract: One embodiment provides a method, including: receiving, from a user at a collaboration platform, a request to perform a computation; generating a workflow comprising a sequence of steps for performing the computation; identifying potential data sources comprising the type of data and able to assist in performing at least one of the sequence of steps of the workflow; selecting computation data sources that collaborate to perform the computation, wherein the selecting is performed dynamically and based upon characteristics of a network created by the collaboration platform and between the computation data sources; and facilitating performance of the computation by the computation data sources using data of the computation data sources, wherein during performance of the computation the computation data sources collaborate within the network to perform the workflow while maintaining individual privacy of the data of the computation data sources and providing proof verifying a trustworthiness of the computation.

Abstract: A three-tiered content notification system that trifurcates the content notification system into a message consumption component, a message filtering component, and a message delivery component. The message queue comprises content published to an event application programming interface (“API”) for the content notification system. By generating this queue of available content, the message filtering component may apply a batch filter on the available content as opposed to conventional per item filtering. During batch filtering, filtering criteria may be applied to all content currently in the queue. The system may rank this content such that only the highest priority and/or relevance ranking may remain in the batch. Content that is not filtered out by the system may then be sent to the message delivery component. At the message delivery component, the system may select delivery channels for the remaining content.

Abstract: Methods and systems for connecting data with non-standardized schemas in connected graph data exchanges. For example, the system generates a custom data structure corresponding to a user identifier for a user profile that includes pointers between user profile attributes (e.g., individual fields/categories within the user profile) and existing assets in a connected graph (e.g., an existing application, software profile for an application, data set, connections, etc.). The system then connects the custom data structure corresponding to the user identifier to the existing assets in the connected graph.

Abstract: Methods and systems for connecting data with non-standardized schemas in connected graph data exchanges. For example, the system generates a custom data structure corresponding to a user identifier for a user profile that includes pointers between user profile attributes (e.g., individual fields/categories within the user profile) and existing assets in a connected graph (e.g., an existing application, software profile for an application, data set, connections, etc.). The system then connects the custom data structure corresponding to the user identifier to the existing assets in the connected graph.

Abstract: Methods and systems for connecting data with non-standardized schemas in connected graph data exchanges. For example, the system generates a custom data structure corresponding to a user identifier for a user profile that includes pointers between user profile attributes (e.g., individual fields/categories within the user profile) and existing assets in a connected graph (e.g., an existing application, software profile for an application, data set, connections, etc.). The system then connects the custom data structure corresponding to the user identifier to the existing assets in the connected graph.

Abstract: An ethylene oxide (EO) production process comprising (a) introducing a first reactant mixture (C2H6, O2) to a first reactor to produce a first effluent stream (C2H4, C2H6, O2); (b) introducing a second reactant mixture to a second reactor to produce a second effluent stream (EO, C2H4, C2H6, O2); wherein the second reactant mixture comprises at least a portion of first effluent stream; (c) separating the second effluent stream into an EO product stream (EO) and recycle stream (C2H4, C2H6, O2); wherein ethylene is not separated from recycle stream and/or first effluent stream; and (d) recycling a first portion of recycle stream to the first reactor, and a second portion of recycle stream to the second reactor; wherein recycle split ratio <0.6; and wherein recycle split ratio is defined as ratio of volumetric flowrate of first portion of recycle stream divided by the sum of volumetric flowrates of first portion and second portion of recycle stream.

Abstract: The invention relates to a composition containing an oxide supported oxidative coupling of methane catalyst having an excellent balance of catalytic activity and selectivity while retaining desired levels mechanical stability suitable for commercial reactor application. Particularly, the inventive catalyst is an oxide supported catalyst with the oxide catalyst support having a spherical diameter of less than 2 mm and a surface area of less than less than 9.5 m2/g while retaining a water sorption volume of at least 0.2 cc/g. The invention further provides a method for preparing such a composition containing an oxide supported catalyst, using a combination of thermal treatment of the oxide catalyst support, active component impregnation and followed up by calcination. Additionally, the invention also describes a process for producing C2+ hydrocarbons, using such a catalyst composition.

Abstract: An ethylene oxide (EO) production process comprising (a) introducing a first reactant mixture (C2H6, C2H4, O2) to a first reactor to produce a first effluent stream (C2H4, C2H6, O2), wherein the mole fraction of ethylene in first effluent stream is greater than in first reactant mixture; wherein the first reactant mixture is characterized by a molar ratio of ethylene to ethane of ?1.3; (b) introducing the first effluent stream to a second reactor to produce a second effluent stream (EO, C2H4, C2H6, O2); (c) separating the second effluent stream into an EO product stream (EO) and recycle stream (C2H4, C2H6, O2); wherein ethylene is not separated from recycle stream and/or first effluent stream; and (d) recycling at least a portion of recycle stream to the first reactor, and a portion of recycle stream to the second reactor.

Abstract: An ethylene oxide (EO) production process comprising (a) introducing a first reactant mixture (C2H6, C2H4, O2) to a first reactor system to produce a first effluent stream (C2H4, C2H6, O2), wherein the mole fraction of ethylene in first effluent stream is greater than in first reactant mixture; wherein the first reactor system is characterized by a first reactor system operating temperature of 270° C.-320° C.; wherein the first reactor system comprises oxidative dehydrogenation (ODH) stage(s); (b) introducing the first effluent stream to a second reactor to produce a second effluent stream (EO, C2H4, C2H6, O2); (c) separating the second effluent stream into an EO product stream (EO) and recycle stream (C2H4, C2H6, O2); wherein ethylene is not separated from recycle stream and/or first effluent stream; (d) recycling at least a portion of recycle stream to the first reactor system, and a optionally portion of recycle stream to the second reactor.

Abstract: The present invention relates to process for the preparation of cannabidiol (A) from the coupling of (D) and (E) through the intermediates (C) and (D) starting from compound (B). The invention further relates to the novel compounds (B), (C), (D) and (E) and reagents used in this process. More specifically, this invention provides the manufacturing of Cannabidiol (A) in milligram to gram or kilogram scale.

Abstract: Techniques are provided for high availability events in a layered architecture. In an example two computing nodes coordinate to provide a computing service, where each node has a base operating system configured to fence the other base operating system, and an application configured to fence the other application. In some examples, fencing requests by an application are routed through its base operating system, which coordinates application-level fencing requests and operating system-level fencing requests.

Abstract: Techniques are provided for high availability events in a layered architecture. In an example two computing nodes coordinate to provide a computing service, where each node has a base operating system configured to fence the other base operating system, and an application configured to fence the other application. In some examples, fencing requests by an application are routed through its base operating system, which coordinates application-level fencing requests and operating system-level fencing requests.

Abstract: A system associated with quantifying a density level of tumor-infiltrating lymphocytes, based on prediction of reconstructed TIL information associated with tumoral tissue image data during pathology analysis of the tissue image data is disclosed. The system receives digitized diagnostic and stained whole-slide image data related to tissue of a particular type of tumoral data. Defined are regions of interest that represents a portion of, or a full image of the whole-slide image data. The image data is encoded into segmented data portions based on convolutional autoencoding of objects associated with the collection of image data. The density of tumor-infiltrating lymphocytes is determined of bounded segmented data portions for respective classification of the regions of interest. A classification label is assigned to the regions of interest. It is determined whether an assigned classification label is above a pre-determined threshold probability value of lymphocyte infiltrated.

Abstract: Disclosed are methods and systems for desulfurization of CO-rich streams. A method can include contacting a CO-rich gas stream with activated carbon and/or contacting the CO-rich gas stream with a zinc-oxide sorbent material at a temperature of 0 to 50° C. to remove at least a portion of the sulfur-containing compounds present in the stream.

Abstract: Provided are improved steam-drying systems, the systems being configured so as to multiple resin streams into steam streams.

Abstract: The inventive method comprises chemically-mechanically polishing a substrate with an inventive polishing composition comprising a liquid carrier and abrasive particles that have been treated with a compound.

Abstract: A method and system for determining an optimal combination of value offers from a plurality of value offers available to a consumer having selected a group of products or services for purchase.

Abstract: A system for capturing, using a digital camera, a Scrum board note and processing the image of the note to extract textual content of the note for use by a collaboration and project management application program. The processing of the image includes removing image imperfections and formatting the image such that it is optimized for scanning, thereby reducing spelling or scanning errors.

Abstract: A system associated with quantifying a density level of tumor-infiltrating lymphocytes, based on prediction of reconstructed TIL information associated with tumoral tissue image data during pathology analysis of the tissue image data is disclosed. The system receives digitized diagnostic and stained whole-slide image data related to tissue of a particular type of tumoral data. Defined are regions of interest that represents a portion of, or a full image of the whole-slide image data. The image data is encoded into segmented data portions based on convolutional autoencoding of objects associated with the collection of image data. The density of tumor-infiltrating lymphocytes is determined of bounded segmented data portions for respective classification of the regions of interest. A classification label is assigned to the regions of interest. It is determined whether an assigned classification label is above a pre-determined threshold probability value of lymphocyte infiltrated.