Abstract: Arrangements for dynamic enterprise center access control are provided. In some examples, a user device may be detected and current location and/or user data associated with the detected device may be requested. Upon receiving the location data, a current geographic location of the user device may be determined and an enterprise center at or near the geographic location may be identified. Received user data may be analyzed to identify a user and retrieve access preferences associated with the user. Based on the access preferences, a command to lock or unlock a door (e.g., permit or disable access) to an area within the enterprise center, the enterprise center in general, or the like, may be generated and transmitted to a computing device for execution. Accordingly, the system may activate desired locking configurations based on user preferences. Upon detecting that the user is no longer at the enterprise center, a command to return to default settings may be generated, transmitted and executed.

Abstract: Arrangements for dynamic enterprise center access control are provided. In some examples, a user device may be detected and current location and/or user data associated with the detected device may be requested. Upon receiving the location data, a current geographic location of the user device may be determined and an enterprise center at or near the geographic location may be identified. Received user data may be analyzed to identify a user and retrieve access preferences associated with the user. Based on the access preferences, a command to lock or unlock a door (e.g., permit or disable access) to an area within the enterprise center, the enterprise center in general, or the like, may be generated and transmitted to a computing device for execution. Accordingly, the system may activate desired locking configurations based on user preferences. Upon detecting that the user is no longer at the enterprise center, a command to return to default settings may be generated, transmitted and executed.

Abstract: Arrangements for dynamic enterprise center access control are provided. In some examples, a user device may be detected and current location and/or user data associated with the detected device may be requested. Upon receiving the location data, a current geographic location of the user device may be determined and an enterprise center at or near the geographic location may be identified. Received user data may be analyzed to identify a user and retrieve access preferences associated with the user. Based on the access preferences, a command to lock or unlock a door (e.g., permit or disable access) to an area within the enterprise center, the enterprise center in general, or the like, may be generated and transmitted to a computing device for execution. Accordingly, the system may activate desired locking configurations based on user preferences. Upon detecting that the user is no longer at the enterprise center, a command to return to default settings may be generated, transmitted and executed.

Abstract: A campaign profile specifies products and/or content items associated with a campaign. A target group selection engine applies an affinity attribute model to user information of a user. The affinity attribute model is used to determine the user's affinity towards (a) product attributes of the products associated with the campaign and/or (b) content attributes of the content items associated with the campaign. The affinity attribute model may be generated using machine learning. A user interface accepts target user tuning parameters that specify weights to be applied to the affinity attributes determined by the affinity attribute model. Based at least on applying the weights to the affinity attributes, an inclusion score and/or exclusion score for the user is determined. The user is included in a target group, for engaging with the campaign, based on the inclusion score and/or exclusion score.

Abstract: A campaign profile specifies products and/or content items associated with a campaign. A target group selection engine applies an affinity attribute model to user information of a user. The affinity attribute model is used to determine the user's affinity towards (a) product attributes of the products associated with the campaign and/or (b) content attributes of the content items associated with the campaign. The affinity attribute model may be generated using machine learning. A user interface accepts target user tuning parameters that specify weights to be applied to the affinity attributes determined by the affinity attribute model. Based at least on applying the weights to the affinity attributes, an inclusion score and/or exclusion score for the user is determined. The user is included in a target group, for engaging with the campaign, based on the inclusion score and/or exclusion score.

Abstract: Arrangements for dynamic enterprise center access control are provided. In some examples, a user device may be detected and current location and/or user data associated with the detected device may be requested. Upon receiving the location data, a current geographic location of the user device may be determined and an enterprise center at or near the geographic location may be identified. Received user data may be analyzed to identify a user and retrieve access preferences associated with the user. Based on the access preferences, a command to lock or unlock a door (e.g., permit or disable access) to an area within the enterprise center, the enterprise center in general, or the like, may be generated and transmitted to a computing device for execution. Accordingly, the system may activate desired locking configurations based on user preferences. Upon detecting that the user is no longer at the enterprise center, a command to return to default settings may be generated, transmitted and executed.

Abstract: A campaign profile specifies products and/or content items associated with a campaign. A target group selection engine applies an affinity attribute model to user information of a user. The affinity attribute model is used to determine the user's affinity towards (a) product attributes of the products associated with the campaign and/or (b) content attributes of the content items associated with the campaign. The affinity attribute model may be generated using machine learning. A user interface accepts target user tuning parameters that specify weights to be applied to the affinity attributes determined by the affinity attribute model. Based at least on applying the weights to the affinity attributes, an inclusion score and/or exclusion score for the user is determined. The user is included in a target group, for engaging with the campaign, based on the inclusion score and/or exclusion score.

Abstract: Arrangements for dynamic enterprise center access control are provided. In some examples, a user device may be detected and current location and/or user data associated with the detected device may be requested. Upon receiving the location data, a current geographic location of the user device may be determined and an enterprise center at or near the geographic location may be identified. Received user data may be analyzed to identify a user and retrieve access preferences associated with the user. Based on the access preferences, a command to lock or unlock a door (e.g., permit or disable access) to an area within the enterprise center, the enterprise center in general, or the like, may be generated and transmitted to a computing device for execution. Accordingly, the system may activate desired locking configurations based on user preferences. Upon detecting that the user is no longer at the enterprise center, a command to return to default settings may be generated, transmitted and executed.

Abstract: A campaign profile specifies products and/or content items associated with a campaign. A target group selection engine applies an affinity attribute model to user information of a user. The affinity attribute model is used to determine the user's affinity towards (a) product attributes of the products associated with the campaign and/or (b) content attributes of the content items associated with the campaign. The affinity attribute model may be generated using machine learning. A user interface accepts target user tuning parameters that specify weights to be applied to the affinity attributes determined by the affinity attribute model. Based at least on applying the weights to the affinity attributes, an inclusion score and/or exclusion score for the user is determined. The user is included in a target group, for engaging with the campaign, based on the inclusion score and/or exclusion score.

Abstract: A campaign profile specifies products and/or content items associated with a campaign. A target group selection engine applies an affinity attribute model to user information of a user. The affinity attribute model is used to determine the user's affinity towards (a) product attributes of the products associated with the campaign and/or (b) content attributes of the content items associated with the campaign. The affinity attribute model may be generated using machine learning. A user interface accepts target user tuning parameters that specify weights to be applied to the affinity attributes determined by the affinity attribute model. Based at least on applying the weights to the affinity attributes, an inclusion score and/or exclusion score for the user is determined. The user is included in a target group, for engaging with the campaign, based on the inclusion score and/or exclusion score.

Abstract: A campaign profile specifies products and/or content items associated with a campaign. A target group selection engine applies an affinity attribute model to user information of a user. The affinity attribute model is used to determine the user's affinity towards (a) product attributes of the products associated with the campaign and/or (b) content attributes of the content items associated with the campaign. The affinity attribute model may be generated using machine learning. A user interface accepts target user tuning parameters that specify weights to be applied to the affinity attributes determined by the affinity attribute model. Based at least on applying the weights to the affinity attributes, an inclusion score and/or exclusion score for the user is determined. The user is included in a target group, for engaging with the campaign, based on the inclusion score and/or exclusion score.

Abstract: Arrangements for dynamic enterprise center access control are provided. In some examples, a user device may be detected and current location and/or user data associated with the detected device may be requested. Upon receiving the location data, a current geographic location of the user device may be determined and an enterprise center at or near the geographic location may be identified. Received user data may be analyzed to identify a user and retrieve access preferences associated with the user. Based on the access preferences, a command to lock or unlock a door (e.g., permit or disable access) to an area within the enterprise center, the enterprise center in general, or the like, may be generated and transmitted to a computing device for execution. Accordingly, the system may activate desired locking configurations based on user preferences. Upon detecting that the user is no longer at the enterprise center, a command to return to default settings may be generated, transmitted and executed.

Abstract: A system and method for investigating an issue may include defining a set of phrase categories; associating each of a set of recorded interactions with at least one phrase category; receiving a selection of a first time interval and a second time interval; selecting a reference phrase category; calculating, for at least some of the phrase categories in the set of phrase categories a correlation differential based on a trend of the phrase category and a trend of the reference phrase category and, if a correlation differential of a category is larger than a threshold then including the category in the reference category.

Abstract: A system and method for investigating an issue may include defining a set of phrase categories; associating each of a set of recorded interactions with at least one phrase category; receiving a selection of a first time interval and a second time interval; selecting a reference phrase category; calculating, for at least some of the phrase categories in the set of phrase categories a correlation differential based on a trend of the phrase category and a trend of the reference phrase category and, if a correlation differential of a category is larger than a threshold then including the category in the reference category.

Abstract: An ablation apparatus places electrodes at the perimeter of a cavity. In an embodiment, the alternating electric field is used to expose the cavity to enough energy to ablate the cavity. In an embodiment, two modes are used to expose different regions of the cavity to different amounts of power for so that the thermal effect is more uniform. In an embodiment, the electrodes have a relatively large surface area so as to avoid charring the cavity, but are shaped so as to fit within a body orifice. For example, the diameter of the sheathed housing the electrodes during penetration may be only 5.5 mm.

Abstract: An agrochemical composition includes a homogeneous single-phase liquid crystal in thermodynamic equilibrium. The agrochemical composition can be a surfactant composition or a pesticide composition. The surfactant composition is a blend of surfactants, whereas a pesticide composition has an active ingredient and one or more surfactant adjuvants. A pesticide composition, or a surfactant composition in combination with an active ingredient, may be used to control pests.

Abstract: An ablation apparatus places electrodes at the perimeter of a cavity. In an embodiment, the alternating electric field is used to expose the cavity to enough energy to ablate the cavity. In an embodiment, two modes are used to expose different regions of the cavity to different amounts of power for so that the thermal effect is more uniform. In an embodiment, the electrodes have a relatively large surface area so as to avoid charring the cavity, but are shaped so as to fit within a body orifice. For example, the diameter of the sheathed housing the electrodes during penetration may be only 5.5 mm.

Abstract: An agrochemical composition includes a homogeneous single-phase liquid crystal in thermodynamic equilibrium. The agrochemical composition can be a surfactant composition or a pesticide composition. The surfactant composition is a blend of surfactants, whereas a pesticide composition has an active ingredient and one or more surfactant adjuvants. A pesticide composition, or a surfactant composition in combination with an active ingredient, may be used to control pests.

Abstract: This invention concerns novel dispersants that are the reaction products of succinic anhydride-containing resins with certain amines. These water soluble dispersants have been found to be unique and highly effective dispersants for water insoluble agricultural suspension concentrate formulations.

Abstract: Provided herein are granular carriers which are impregnated with an agriculturally active ingredient and a surfactant. The compositions of the invention provide increased efficacy over granules of the prior art.