Abstract: Techniques for building automated workflow sequences associated with a document review platform are provided. A method includes accessing trigger event data from a trigger event database and action data from an action database; presenting a user interface to create a workflow; adding a function block to the workflow by: detecting a selection of an add function block option; presenting a function block including at least one of (i) a user-selectable option to select a trigger event from a list of trigger events populated based on the trigger event data or (ii) a user-selectable option to select an action from a list of actions populated based on the action data; and presenting the function block including at least one of a selected trigger event or a selected action; detecting that the workflow is ready for deployment; translating the workflow into a logic-based representation of the workflow; and deploying the logic-based representation.

Abstract: The disclosures herein relate to the design of one or more battery monitoring or maintenance devices in some embodiments including guidance for autonomous vehicles for recharging, service or replacement of batteries or related devices. These devices may include but are not limited to devices that monitor and/or maintain the health of batteries or related devices that monitor and/or maintain the health of assets. The devices include batteries for vehicles, oral cleaning devices, smart-clothing with integrated batteries and sensors and charging pads which may monitor the health or assets being charged. Sensors may be integrated in these devices including but not limited to IMUs, thermocouples or oral cleaning devices, IMUs in clothing like shoes or wrist bands, or timers or charging sensors in magnetic surfaces which may cause one or more objects and/or other magnetic surfaces to float when a desired function is achieved.

Abstract: An instrument access device of a teleoperated surgical system includes an envelope, a clamp, and a plurality of ports. The envelope includes a distal opening and a cavity. The clamp is in the distal opening of the envelope. The plurality of ports are coupled to the envelope. The plurality of ports are proximal to the clamp and the distal opening of the envelope. Each of the plurality of ports includes a seal, which is sized and shaped to seal an outer surface of a cannula and to fix a position of the cannula relative to the port and the envelope.

Abstract: Improved biolistic bombardment is observable when using a modification to a double-barrel device. One such modification is a custom attachment that can be retrofit to a standard helium-based gene gun. The custom attachment facilitates DNA and protein delivery. The attachment confines the flow of particles in a barrel similar to the choke on a shotgun barrel.

Abstract: A system generally comprising a charger with an integrated battery is provided that may be associated with a generator starter. The system is configured to maintain battery charge with the charger that monitors battery temperature before initiating a boost charge. Battery charge is thereafter maintained with the charger supplying a float or eco-float current to the battery, which maximizes system life.

Abstract: An apparatus includes an interface and a processor. The interface sends and receives data over a network. The processor uses the interface to transmit a first media file to a device of a user. The first media file presents a first choice between at least two options. The processor uses the interface to receive from the user a first selection in response to the first choice. In response to receiving the first selection, the processor transmits a second media file to the device. The second media file presents a second choice between at least two options. The processor uses the interface to receive from the user a second selection in response to the second choice. The processor identifies, based in part on the first selection and the second selection, a second user as potentially compatible with the user and transmits to the user a profile of the second user.

Abstract: Systems and associated methods are described for providing content recommendations. The system selects a first plurality of subsets of content categories, each subset of content categories comprising a first number of content categories. The subsets are assigned reward scores based on content popularity and duplication. The subset are then iteratively modified to increase the rewards scores. If the reward scores are still low, the process is repeated by selecting a second plurality of subsets of content categories, each subset of content categories comprising a second number of content categories, different from first number.

Abstract: In one embodiment, a system includes an interface and a communicatively coupled processor. The interface is configured to receive first future location information of a first user and receive second future location information of a second user. The processor is configured to determine that the first and second future location information each correspond to a future location and determine that a characteristic related to the first user corresponds to a preference related to the second user. In response to these determinations, the processor is configured to cause information to be presented to the second user, the information to be presented to the second user comprising the future location and that the first user and the second user have the future location in common.

Abstract: Systems and associated methods are described for providing content recommendations. The system selects, using a multi-armed bandit solution model, a first plurality of content categories based on a reward score of each content category. The categories are displayed. When a user selects an item from the displayed categories, the system finds all categories that include the selected item, but rewards only the category with the highest score. The system selects, using the multi-armed bandit solution model, the second plurality of content categories based on the updated reward score of each content category. The categories are then displayed. The system may also repeat the steps to refine the multi-armed bandit solution model.

Abstract: Aspects of the present disclosure include a rigid paperboard product comprising at least one modified starch and at least one crosslinker, wherein the at least one modified starch is present in an amount ranging from 2% to 20% by weight of the paperboard product, wherein the at least one crosslinker is present in an amount ranging from 0.5% to 8% by weight based on the dry weight of the starch content in the paperboard product, and wherein the paperboard product has a rigidity value ranging from 375 to 500.

Abstract: An apparatus and system for cleaning oral cavities via a device with predetermined optimally imposed methods to remove germs, bacteria, tartar and plaque, which have been clinically proven to cause gum disease and tooth loss, efficiently and with minimal abrasion to tooth enamel and gums. Variations of this disclosure include but are not limited to embodiments where the device utilizes any of the aforementioned components to achieve the intended function. However, a preferred embodiment of this disclosure comprises an electrically controlled magnetic field to allow optimal contact pressure in the mouth, a motion device capable of tracking motion coordinates to record daily cleaning methods and to inform recommendations and web enabled capability to store activity over time, a scrolling toothbrush and gum cleaning device or a stationary mouth guard device applying the same force dampening and applying technology in a more automated fashion.

Abstract: The present disclosure involves systems, software, and computer implemented methods for a remittance system that pre-populates remittance data based on historical usage of remittance transactions. One example system includes operations to generate, using a predictive model, data indicating a predicted likelihood of a user selecting at least one data exchange transaction, wherein the data indicates the predicted likelihood of the user performing the at least one data exchange transaction. A request is received to access a remittance page. In response, the at least one data exchange transaction that was previously generated is selected from a repository of predicted likelihoods. Remittance data associated with a UI element is generated that includes the at least one data exchange transaction. The remittance data is transmitted to the device. An indication from the device is received for interacting with the UI element. The data exchange transaction is executed in response to receiving the indication.

Abstract: Systems and methods are described for selecting content item identifiers for display. The system may identify a set of content items that are likely to be requested in the future based on a history of content item requests. The system then selects a first plurality of content categories using a category selection neural net and selects a first set of recommended content items for the first plurality of content categories. The system increases a reward score for the first plurality of content categories based on receiving a request for a content item that is included in the first set of recommended content items. The system also decreases the reward score for the first plurality of content categories based on determining that the requested content item is included in the set of content items that are likely to be requested in the future. The neural net is trained based on the reward score of the first plurality of content categories to reinforce reward score maximization.

Abstract: An apparatus includes an interface and a processor. The interface sends and receives data over a network. The processor uses the interface to transmit a first media file to a device of a user. The first media file presents a first choice between at least two options. The processor uses the interface to receive from the user a first selection in response to the first choice. In response to receiving the first selection, the processor transmits a second media file to the device. The second media file presents a second choice between at least two options. The processor uses the interface to receive from the user a second selection in response to the second choice. The processor identifies, based in part on the first selection and the second selection, a second user as potentially compatible with the user and transmits to the user a profile of the second user.

Abstract: Systems and associated methods are described for providing content recommendations. The system selects a first plurality of subsets of content categories, each subset of content categories comprising a first number of content categories. The subsets are assigned reward scores based on content popularity and duplication. The subset are then iteratively modified to increase the rewards scores. If the reward scores are still low, the process is repeated by selecting a second plurality of subsets of content categories, each subset of content categories comprising a second number of content categories, different from first number.

Abstract: Systems and associated methods are described for providing content recommendations. The system selects, using a multi-armed bandit solution model, a first plurality of content categories based on a reward score of each content category. The categories are displayed. When a user selects an item from the displayed categories, the system finds all categories that include the selected item, but rewards only the category with the highest score. The system selects, using the multi-armed bandit solution model, the second plurality of content categories based on the updated reward score of each content category. The categories are then displayed. The system may also repeat the steps to refine the multi-armed bandit solution model.

Abstract: Systems and associated methods are described for providing content recommendations. The system receives a plurality of sets of range values, each of which corresponds to a respective one of a plurality of parameters for recommending the content. The system selects different values within each of the plurality of sets of range values over time and provides a plurality of content recommendations to users based on the selected different values. The system then analyze users’ behavior in response to the provided plurality of content recommendations. The system further updates at least one set of range values based on the analyzed users’ behavior.

Abstract: Systems and methods are described that employ machine learning models to optimize database management. Machine learning models may be utilized to decide whether a new database record needs to be created (e.g., to avoid duplicates) and to decide what record to create. For example, candidate database records potentially matching a received database record may be identified in a local database, and a respective probability of each candidate database record matching the received record is output by a match machine learning model. A list of statistical scores is generated based on the respective probabilities and is input to an in-database machine learning model to calculate the probability that the received database record already exists in the local database.

Abstract: In one embodiment, a system includes an interface and a communicatively coupled processor. The interface is configured to receive first future location information of a first user and receive second future location information of a second user. The processor is configured to determine that the first and second future location information each correspond to a future location and determine that a characteristic related to the first user corresponds to a preference related to the second user. In response to these determinations, the processor is configured to cause information to be presented to the second user, the information to be presented to the second user comprising the future location and that the first user and the second user have the future location in common.

Abstract: Systems and methods are described for selecting content item identifiers for display. The system may identify a set of content items that are likely to be requested in the future based on a history of content item requests. The system then selects a first plurality of content categories using a category selection neural net and selects a first set of recommended content items for the first plurality of content categories. The system increases a reward score for the first plurality of content categories based on receiving a request for a content item that is included in the first set of recommended content items. The system also decreases the reward score for the first plurality of content categories based on determining that the requested content item is included in the set of content items that are likely to be requested in the future. The neural net is trained based on the reward score of the first plurality of content categories to reinforce reward score maximization.