Abstract: Systems and methods for carrying out metathesis reaction by utilizing one or more side reactors to a reactive distillation column is disclosed. The one or more side reactors is used to effect a reactive pump-around process. The systems and methods are used for equilibrium limited reactions such as the metathesis of C4 olefins.

Abstract: In some examples, a system may be configured to, implement a first set of operations that generate a first set of data characterizing an importance of the most recently added anchor item to the user. Further, the system may be configured to, implement a second set of operations that generate a second set of data characterizing a likelihood of an occurrence of a substitution rejection event associated with the user. That way, based on the first set of data and the second set of data, the system may be configured to generate output data, and implement a set of notification operations based on the output data.

Abstract: The disclosure provides processes and systems for fluid catalytic cracking of feed streams including hydrocarbons and varying amounts of mixed waste plastic oil to produce valuable petroleum products, such as light olefins and aromatics. The processes generally include providing a waste plastic pyrolysis oil, treating the waste pyrolysis oil reduce a content of one or more of silicon, chlorine, nitrogen, sulfur, and higher olefin components, providing a hydrocarbon stream, combining the hydrocarbon stream with the waste plastic pyrolysis oil to provide a combined feed stream, and feeding the combined feed stream to a fluid catalytic cracking unit having a catalytic cracking catalyst containing a mixture of HZSM-5 and USY.

Abstract: Techniques are disclosed for time constrained electronic request evaluation. A server system receives, from a computing device, a request submitted via an account, including a first set of characteristics associated with the request. The system executes a first machine-learning model to determine a first risk score for the request by inputting the first set of characteristics into the first model. The system generates an initial authentication decision for the request based on the first score and sends the decision to the device. The system executes a second, different machine-learning model to determine a second risk score for the request, by inputting the first set of characteristics and a second, different set of characteristics associated with the account into the second model. Based on the second score, the system determines a final authentication decision. The disclosed techniques may advantageously improve computer security and operations via identification of malicious electronic requests.

Abstract: Components and systems for mounting fuel tanks to a vehicle and vehicle chassis are disclosed. An exemplary system includes a vertically oriented structure for mounting multiple fuel tanks to outboard brackets of a vehicle chassis. Via use of the system, improved vehicle mechanical characteristics and improved impact absorption are obtained.

Abstract: Provided here are methods and systems for preparing a solid supported modified zeolite catalyst for use in the fluid catalytic cracking of a hydrocarbon feedstock, a such as a feedstock with a boiling point of less than 330° C. Methods include preparing an alkaline treated zeolite, passivating by phosphatation, and combining with alumina and silica slurry to result in a spray dryable catalyst precursor. The spray dried modified zeolite catalyst can be used in a fluid catalytic cracking unit to convert light hydrocarbon feedstocks to ethylene and propylene enriched product streams.

Abstract: The disclosure provides processes for fluid catalytic cracking of feed streams including hydrocarbons and varying amounts of mixed waste plastic oil to produce valuable petroleum products, such as light olefins. The process generally includes providing a waste plastic pyrolysis oil; passing the waste plastic pyrolysis oil through at least one guard bed configured to adsorb chlorine components; providing a hydrocarbon stream; combining the hydrocarbon stream with the waste plastic pyrolysis oil to provide a combined feed stream; and feeding the combined feed stream, along with steam, to a fluid catalytic cracking unit.

Abstract: Components and systems for mounting fuel tanks to a vehicle and vehicle chassis are disclosed. An exemplary system includes a vertically oriented structure for mounting multiple fuel tanks to outboard brackets of a vehicle chassis. Via use of the system, improved vehicle mechanical characteristics and improved impact absorption are obtained.

Abstract: A system is configured to train a customer understanding model to generate a preference score for substitution items. The customer understanding model generates a preference score for each of a plurality of related substitution items based on order data including data indicative of at least one item ordered and location data indicating a location of a first store. The customer understanding model ranks each of the substitution items based on the preference score. Order data is transmitted including substitution data identifying each of the substitution items and corresponding rank. Performance data associated with a set of operations implemented based on the order data and the substitution data is obtained. An updated customer understanding model is trained based on the performance data and iteratively modified based on the updated training dataset and updated performance metrics generated from second performance data.

Abstract: Components and systems for mounting fuel tanks to a vehicle and vehicle chassis are disclosed. An exemplary system includes a vertically oriented structure for mounting multiple fuel tanks to outboard brackets of a vehicle chassis. Via use of the system, improved vehicle mechanical characteristics and improved impact absorption are obtained.

Abstract: The disclosed subject matter relates to a system and method for personalizing customer experience at a retailer's physical location in order to increase sales and customer satisfaction. The personalization is based upon classification of customer's online interaction with the retailer. Upon detecting the customer's presence at the retailer's physical location, data of the customer's online interactions is retrieved and classified based on the type of online interactions and temporal characteristics. Push content is transmitted to the customer, the push content being based upon at least the classification and data associated with retailer's physical location.

Abstract: Techniques for a computer-implemented service for virtual product placement in video frames are described. According to some embodiments, a computer-implemented method includes receiving, at a virtual product placement service, a request to place a two-dimensional image of a virtual product into a video, identifying, by a machine learning model of the virtual product placement service, a surface depicted in the video for insertion of the two-dimensional image of the virtual product, inserting, by the virtual product placement service, of the two-dimensional image of the virtual product into one or more frames of the video onto the surface to generate a video including the virtual product, and transmitting the video including the virtual product to a viewer device or a storage location.

Abstract: Techniques for aligning (merging) knowledge graphs is described. Graph entity alignment is the problem of “joining” two knowledge graphs based on common entities. Most approaches in literature solve this using some annotated seed entity pairs and train a supervised model to rank entities in one knowledge base against another. In some examples, unsupervised alignment approach that uses graph-to-text summaries to encode entities in two or more distinct graphs into the same representation space, encodes those summaries into a common space, and then uses similarity analysis to determine when graph entities should be aligned (merged).

Abstract: Systems and methods of producing olefins via catalytic cracking are disclosed. Hydrocarbons of a naphtha stream are isomerized by converting straight chain Cn hydrocarbons to branched Cn hydrocarbons, thereby forming an isomerized naphtha stream. The isomerized naphtha stream is subsequently fed to a catalytic cracking unit such that the hydrocarbons of the isomerized naphtha stream form olefins. In the catalytic cracking process, the reaction temperature can be kept lower than 680° C., thereby increasing the reactivity and minimizing catalyst deactivation in the catalytic cracking process.

Abstract: A system includes a computing device configured to obtain item attribute data that corresponds to a characteristic of an item ordered by a customer on an e-commerce platform and a common characteristic of a plurality of substitution items. The computing device is also configured to obtain customer attribute data identifying preferences of the customer and to determine a preference score for each substitution item in the plurality of substitution items based on the item attribute data and the customer attribute data. The preference score indicates a likelihood that the customer will accept one of the plurality of substitution items as a replacement for the item ordered by the customer. The computing device is also configured to rank each substitution item in the plurality of substitution items based on the preference scores.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations: training, using labeled training data and a list of substitutes for an item, a machine learning algorithm; determining, using the machine learning algorithm, as trained, a respective similarity score for each substitute of the list of substitutes; ranking each substitute of the list of substitutes based on its respective similarity score; and re-training the machine learning algorithm based on at least the labeled training data and a highest ranked substitute of the list of substitutes. Other embodiments are disclosed herein.

Abstract: Disclosed are methods of making delmopinol and delmopinol salts (e.g., delmopinol metal salts, such as, for example, delmopinol calcium salts, delmopinol sodium salts, delmopinol potassium salts, and/or delmopinol magnesium salts).

Abstract: A device, system, and method for sharing information of a selected media modality via communication devices is provided. A device determines a type of a community member associated with an incident, the incident further associated with a first responder. The device determines a plurality of media modalities of information associated with the incident. The device selects, from the plurality of media modalities of the information, a media modality of the information based on the type of the community member. The device causes sharing of the media modality of the information with the community member via one or more of a first responder communication device, associated with the first responder, and a community member communication device, associated with the community member.

Abstract: A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: determining a list of possible substitutes for an item when the item is out of stock; training a machine learning algorithm, using labeled training data as input and a list of possible substitutes for the item as output; determining, using the machine learning algorithm, as trained, a respective similarity score for each substitute of the list of possible substitutes; determining a respective historical substitution score for each possible substitute; determining a respective final score for each possible substitute comprises using at least one or more rectifiers having ReLU non-linearity; ranking each possible substitute; storing a selection of the highest ranked possible substitute as additional training data with the labeled training data; and re-training the machine learning algorithm

Abstract: Methods and systems for processing multimedia files associated with an incident. One method includes receiving a request to submit a multimedia file associated with the incident and, in response to receiving the request, transmitting a text message including an identifier of the incident to a communication device. The method also includes receiving, at the answering point, a reply to the text message, the reply including the multimedia file and the identifier, and storing, at the answering point, the multimedia file including using the identifier to link the multimedia file to an incident record for the incident.