Abstract: Systems and methods for activity risk management are disclosed. A system for activity risk management may include a memory storing instructions and at least one processor configured to execute instructions to perform operations including: accessing document data associated with at least one of a transaction or an individual; normalizing the document data; classifying the normalized document data; extracting model input data from the classified document data; applying a machine learning model to the extracted model input data to score the document data, the machine learning model having been trained to generate a favorability output indicating a favorability of the transaction or individual; and generating analysis data based on the scored document data.

Abstract: The present technology describes various embodiments of methods and systems for improved coke quenching. More specifically, some embodiments are directed to methods and systems for improving the coke quenching process by partially cracking coke before it is quenched. In one embodiment, coke is partially cracked when placed in horizontal communication with one or more uneven surfaces. In another embodiment, a coke loaf is partially broken when dropped a vertical distance that is less than the height of the coke loaf. In another embodiment, a mass of coke is partially broken when first placed in vertical communication with one or more uneven surfaces and then placed in horizontal communication with the same or different one or more uneven surfaces. In some embodiments, the one or more uneven surfaces may be mounted to a coke oven, train car, hot car, quench car, or combined hot car/quench car.

Abstract: Systems and methods for entity risk management are disclosed. A system for entity risk management may include a memory storing instructions and at least one processor configured to execute instructions to perform operations including: establishing a connection between the system and a data source, the data source being remote from the system and associated with a first entity; receiving first document data from the data source; normalizing the first document data; classifying the normalized document data; extracting model input data from the classified document data; applying a machine learning model trained to predict risk levels using second document data to the extracted model input data to predict a risk level associated with the first entity; generating analysis data based on the predicted risk level; and based on the analysis data, transmitting an alert to a management device communicably connected to the system.

Abstract: Systems and methods for activity risk management are disclosed. A system for activity risk management may include a memory storing instructions and at least one processor configured to execute instructions to perform operations including: classifying document data by identifying at least one marker in the document data, the at least one marker being associated with a document type; selecting an extraction model based on the document type; extracting model input data from the classified document data using the extraction model; applying a machine learning model to the extracted model input data to score the document data, the machine learning model having been trained with document data of a same document type as the document type associated with the at least one marker; and generating, based on the applying, a favorability output based on an amount of risk associated with the document data.

Abstract: Disclosed herein is a data estimation technique for a data intake and query system. The system receives user inputs indicative that a first data source is to be the subject of a storage related estimate. The system receives a first plurality of events generated by the first data source. The system indexes only a sample of the received first plurality of events, based on a sampling criterion, where the sample is fewer than all of the first plurality of events. The system generates the storage related estimate based on at least some of the first plurality of events, and causes an indication of the estimate to be output to a user.

Abstract: Systems and methods for providing selective access to model output data are disclosed. A system for providing selective access to model output data may include a memory storing instructions and at least one processor configured to execute instructions to perform operations including: receiving, through an application programming interface (API) and from a requestor device, an API request for data, the API request identifying a requestor entity associated with the requestor device; determining a data type based on the API request; determining an authorization level of the requestor; accessing first model output data corresponding to the data type and the authorization level, the first model output data having been generated by a machine learning model trained to predict a risk level based on document data; and transmitting the first model output data to the requestor device.

Abstract: Systems and methods for activity risk management are disclosed. A system for activity risk management may include a memory storing instructions and at least one processor configured to execute instructions to perform operations including: accessing document data associated with at least one of a transaction or an individual; normalizing the document data; classifying the normalized document data; extracting model input data from the classified document data; applying a machine learning model to the extracted model input data to score the document data, the machine learning model having been trained to generate a favorability output indicating a favorability of the transaction or individual; and generating analysis data based on the scored document data.

Abstract: Systems and methods for entity risk management are disclosed. A system for entity risk management may include a memory storing instructions and at least one processor configured to execute instructions to perform operations including: establishing a connection between the system and a data source, the data source being remote from the system and associated with a first entity; receiving first document data from the data source; normalizing the first document data; classifying the normalized document data; extracting model input data from the classified document data; applying a machine learning model trained to predict risk levels using second document data to the extracted model input data to predict a risk level associated with the first entity; generating analysis data based on the predicted risk level; and based on the analysis data, transmitting an alert to a management device communicably connected to the system.

Abstract: Disclosed herein is a data estimation technique for a data intake and query system. The system receives user inputs indicative that a first data source is to be the subject of a storage related estimate. The system receives a first plurality of events generated by the first data source. The system indexes only a sample of the received first plurality of events, based on a sampling criterion, where the sample is fewer than all of the first plurality of events. The system generates the storage related estimate based on at least some of the first plurality of events, and causes an indication of the estimate to be output to a user.

Abstract: The present technology describes various embodiments of methods and systems for improved coke quenching. More specifically, some embodiments are directed to methods and systems for improving the coke quenching process by partially cracking coke before it is quenched. In one embodiment, coke is partially cracked when placed in horizontal communication with one or more uneven surfaces. In another embodiment, a coke loaf is partially broken when dropped a vertical distance that is less than the height of the coke loaf. In another embodiment, a mass of coke is partially broken when first placed in vertical communication with one or more uneven surfaces and then placed in horizontal communication with the same or different one or more uneven surfaces. In some embodiments, the one or more uneven surfaces may be mounted to a coke oven, train car, hot car, quench car, or combined hot car/quench car.

Abstract: The present technology describes various embodiments of methods and systems for improved coke quenching. More specifically, some embodiments are directed to methods and systems for improving the coke quenching process by partially cracking coke before it is quenched. In one embodiment, coke is partially cracked when placed in horizontal communication with one or more uneven surfaces. In another embodiment, a coke loaf is partially broken when dropped a vertical distance that is less than the height of the coke loaf. In another embodiment, a mass of coke is partially broken when first placed in vertical communication with one or more uneven surfaces and then placed in horizontal communication with the same or different one or more uneven surfaces. In some embodiments, the one or more uneven surfaces may be mounted to a coke oven, train car, hot car, quench car, or combined hot car/quench car.

Abstract: Disclosed herein is a data estimation technique for a data intake and query system. The system receives user inputs indicative that a first data source is to be the subject of a storage related estimate. The system receives a first plurality of events generated by the first data source. The system indexes only a sample of the received first plurality of events, based on a sampling criterion, where the sample is fewer than all of the first plurality of events. The system generates the storage related estimate based on at least some of the first plurality of events, and causes an indication of the estimate to be output to a user.

Abstract: Disclosed herein is a data estimation technique for a data intake and query system. The system receives user inputs indicative that a first data source is to be the subject of a storage related estimate. The system receives a first plurality of events generated by the first data source. The system indexes only a sample of the received first plurality of events, based on a sampling criterion, where the sample is fewer than all of the first plurality of events. The system generates the storage related estimate based on at least some of the first plurality of events, and causes an indication of the estimate to be output to a user.

Abstract: The present technology describes various embodiments of methods and systems for improved coke quenching. More specifically, some embodiments are directed to methods and systems for improving the coke quenching process by partially cracking coke before it is quenched. In one embodiment, coke is partially cracked when placed in horizontal communication with one or more uneven surfaces. In another embodiment, a coke loaf is partially broken when dropped a vertical distance that is less than the height of the coke loaf. In another embodiment, a mass of coke is partially broken when first placed in vertical communication with one or more uneven surfaces and then placed in horizontal communication with the same or different one or more uneven surfaces. In some embodiments, the one or more uneven surfaces may be mounted to a coke oven, train car, hot car, quench car, or combined hot car/quench car.

Abstract: The present invention is directed to nonwoven webs and articles comprising nanofibers. The nanofibers are made from a polymer having a glass transition temperature above about 25 C. The nanofibers, having a diameter of less than 1 micron, may comprise a significant number of the fibers in one layer of the web contained by the article. Preferably, the nanofibers are produced in a melt film fibrillation process. Articles include diapers, training pants, adult incontinence pads, catamenials products such as feminine care pads and pantiliners, tampons, personal cleansing articles, personal care articles, and personal care wipes including baby wipes, facial wipes, and feminine wipes.

Abstract: The present invention is directed to articles comprising nanofibers. The nanofibers, having a diameter of less than 1 micron, may comprise a significant number of the fibers in one layer of the web contained by the article. Preferably, the nanofibers are produced in a melt film fibrillation process. The articles include diapers, training pants, adult incontinence pads, catamenials products such as feminine care pads and pantiliners, tampons, personal cleansing articles, personal care articles, and personal care wipes including baby wipes, facial wipes, and feminine wipes.

Abstract: A fibrous product including a mixture of different shaped fibers is formed utilizing a spin pack assembly including a spinneret with at least two spinneret orifices having different cross-sections. In addition, the formation of the fibrous product is enhanced by controlling the pressure drop upstream from the spinneret orifices, which in turn facilitates effective control of fiber denier. A metering/distribution plate is preferably provided in the spin pack with channels having selected dimensions that control the pressure drop of molten polymer flowing through the spin pack. The metering/distribution plate can be retrofitted into existing systems and easily exchanged with other metering/distribution plates to enhance formation of the fibrous product with different fiber shapes.

Abstract: The present invention is directed to articles comprising nanofibers. Preferred articles include diapers, training pants, adult incontinence pads, catamenials products such as feminine care pads and pantiliners, tampons, personal cleansing articles, personal care articles, and personal care wipes including baby wipes, facial wipes, body wipes, and feminine wipes. The nanofiber webs can be used as a barrier, wipe, absorbent material, and other uses. The nanofibers, having a diameter of less than 1 micron, must comprise a significant number of the fibers in at least one nanofiber layer of the nonwoven web. The nonwoven web may have a hydrohead to basis weight ratio of greater than about 10 mbar/gsm. The nanofibers may be produced from a melt film fibrillation process.

Abstract: The present invention relates to a nonwoven web comprising a plurality of loops. At least one of said loops having a loop circumference length to loop base length ratio that is greater than about 4:1. The loops may also have a base length less than 0.5 cm and a base length less than the maximum width of the loops. The present invention also relates to articles selected from the group consisting of disposable hygiene article and wipes comprising a nonwoven web wherein at least one region of the nonwoven web comprises loops in at least about 10% of the surface area of the nonwoven web. A method for producing a nonwoven web comprising a plurality of loops is also included. The method comprises the steps of providing a nonwoven web; providing means for moving fibers of the nonwoven web into the shape of a loop; and moving fibers of the nonwoven web into the shape of a loop.

Abstract: The present invention relates to a fibrous fabric comprising at least one layer comprising a mixture of shaped fibers having two or more different cross sections. The variety of cross sections include solid round fibers, hollow round fibers, multi-lobal solid fibers, hollow multi-lobal fibers, crescent shaped fibers, square shaped fibers, crescent shaped fibers, and any combination thereof.