Abstract: The present disclosure relates to KRAS inhibitors. Methods of treating cancers using the compounds are also provided.

Abstract: The present disclosure relates to KRAS inhibitors. Methods of treatment cancers using the compounds are also provided.

Abstract: The present disclosure provides KRAS inhibitors. Methods of treating cancers using the compounds are also provided.

Abstract: A wet wipe pocket with dispensing mechanism including a pocket assembly and a dispenser assembly. The pocket assembly includes a plurality of pockets. Each pocket of the plurality of pockets has an opening. The opening receives the hand of a user therethrough. Each pocket of the plurality of pockets can cover the hand of a user. The. The plurality of pockets can be used to sanitize, disinfect, or clean. The dispenser assembly includes a dispensing element. The plurality of pockets are removable attached to a bottom and top portion of the dispensing elements. Each pocket of the plurality of pockets can be detached by pulling the pocket from the dispensing element. The plurality of pockets are used to disinfect the hand of a user or disinfect, wipe, and/or clean any surface.

Abstract: A composite novelty method approach to deceptive problems where a secondary objective is available to diversify the search is described. In such cases, composite objectives focus the search on the most useful tradeoffs and allow escaping deceptive areas. Novelty-based selection increases exploration in the focus area, leading to better solutions, faster and more consistently and it can be combined with other fitness-based methods.

Abstract: A composite novelty method approach to deceptive problems where a secondary objective is available to diversify the search is described. In such cases, composite objectives focus the search on the most useful tradeoffs and allow escaping deceptive areas. Novelty-based selection increases exploration in the focus area, leading to better solutions, faster and more consistently and it can be combined with other fitness-based methods.

Abstract: Roughly described, a training database contains N segments of data samples. Candidate individuals identify a testing experience level, a fitness estimate, a rule set, and a testing set TSi of the data samples on which it is tested. The testing sets have fewer than all of the data segments and they are not all the same. Testing involves testing on only the individual's assigned set of data segments, updating the fitness estimates and testing experience levels, and discarding candidates through competition. If an individual reaches a predetermined maturity level of testing experience, then validating involves further testing it on samples of the testing data from a testing data segment other than those in the individual's testing set TSi. Those individuals that satisfy validation criteria are considered for deployment.

Abstract: When a user enters, initializes, or otherwise starts using a navigation function, such as a navigation function on a mobile phone or a stand-alone device, a destination is automatically selected for route generation and production of a navigation output (e.g., an Estimated Time of Arrival (ETA) at the destination). The destination can be selected based on current proximity to a location having an associated pre-defined destination. Such pre-defined destination can be associated with the location by the user. A time of day criteria can also be imposed. In one example, locations proximate a work place can be associated with home as a pre-defined destination, and vice versa. A time of day criteria can be imposed, such that even if proximate work and it is in the morning, a route and ETA to home will not be generated.

Abstract: Roughly described, a training database contains N segments of data samples. Candidate individuals identify a testing experience level, a fitness estimate, a rule set, and a testing set TSi of the data samples on which it is tested. The testing sets have fewer than all of the data segments and they are not all the same. Testing involves testing on only the individual's assigned set of data segments, updating the fitness estimates and testing experience levels, and discarding candidates through competition. If an individual reaches a predetermined maturity level of testing experience, then validating involves further testing it on samples of the testing data from a testing data segment other than those in the individual's testing set TSi. Those individuals that satisfy validation criteria are considered for deployment.

Abstract: Aspects provide for a navigation function implemented on a device that has a communication capability (e.g., a mobile phone) in which the navigation function automatically sends an Estimated Time of Arrival (ETA) to a contact associated with a destination selected for navigation purposes. For example, when a user activates a navigation function on his mobile phone, and selects a destination for which a route will be generated from his current location to the destination, a contact phone number associated with that destination will be sent a Short Message System (SMS) message with the calculated ETA. Provisions can be made for automatic updates as the route is traveled. Other information pertaining to the reasons for the ETA can be selected or automatically generated by the navigation function.

Abstract: A route comprises interconnected road segments that can be traveled to get from a location to a destination. Previously, routes are represented by display of the spatial arrangement of such road segments (e.g., a map). Here, a route is depicted as a linear shape, and portions of the linear shape represent portions of the route, regardless of their spatial arrangement. A scale is applied between a characteristic of the route and the linear shape. Information elements can be depicted at points on the linear shape that correspond, based on the scale, to locations on the route where such information applies. Portions of the linear shape can be colored or cross-hatched according to traffic congestion conditions. Incident reports can be represented by indicators along the linear shape. Alternate routes (detours) can be represented by respective separate linear shapes; lead lines can connect such linear shapes to points of the route linear shape where each such detour would be taken.

Abstract: Aspects provide for a navigation function implemented on a device that has a communication capability (e.g., a mobile phone) in which the navigation function automatically sends an Estimated Time of Arrival (ETA) to a contact associated with a destination selected for navigation purposes. For example, when a user activates a navigation function on his mobile phone, and selects a destination for which a route will be generated from his current location to the destination, a contact phone number associated with that destination will be sent a Short Message System (SMS) message with the calculated ETA. Provisions can be made for automatic updates as the route is traveled. Other information pertaining to the reasons for the ETA can be selected or automatically generated by the navigation function.

Abstract: A route comprises interconnected road segments that can be traveled to get from a location to a destination. Previously, routes are represented by display of the spatial arrangement of such road segments (e.g., a map). Here, a route is depicted as a linear shape, and portions of the linear shape represent portions of the route, regardless of their spatial arrangement. A scale is applied between a characteristic of the route and the linear shape. Information elements can be depicted at points on the linear shape that correspond, based on the scale, to locations on the route where such information applies. Portions of the linear shape can be colored or cross-hatched according to traffic congestion conditions. Incident reports can be represented by indicators along the linear shape. Alternate routes (detours) can be represented by respective separate linear shapes; lead lines can connect such linear shapes to points of the route linear shape where each such detour would be taken.

Abstract: When a user enters, initializes, or otherwise starts using a navigation function, such as a navigation function on a mobile phone or a stand-alone device, a destination is automatically selected for route generation and production of a navigation output (e.g., an Estimated Time of Arrival (ETA) at the destination). The destination is selected based on current proximity to a location that has a pre-defined destination associated with it. Such pre-defined destination usually is associated with the location by the user. A time of day criteria can also be imposed, such as requiring that the time of day either by in the morning or afternoon, a work day, or a holiday, or the opposite. In one example, locations proximate a work place can be associated with home as a pre-defined destination, and vice versa. A time of day criteria can be imposed, such that even if proximate work and it is in the morning, a route and ETA to home will not be generated.